Ocurate is searching for a senior data scientist to work on applying our deep machine learning framework in conjunction with our unique database of 280 million Americans in service of predicting customer lifetime value, churn, and more for our clients in the B2C/eCommerce space.

At Ocurate, you will have the opportunity to work with some of the most interesting and extensive datasets in the space and apply and extend cutting-edge machine learning technology. You will also have a chance to expand on your previous experience in (people) management.

Ocurate uses a class of deep machine learning, and unique data to predict customer lifetime value with best-in-class accuracy, in addition to serial Randomized Control Trialsto help our clients determine causal relationships between different marketing initiatives and product traits to increase in predicted LTV.

# How we work

Ocurate is a fully remote company, with employees located mainly in New York and San Francisco/Bay Area. Our founders believe strongly in a healthy work/life balance, and a culture of working smarter not harder. Ocurate highly values diversity. We are supportive of families.

# Requirements

* 4+ years experience in an applied machine learning role, with a record of ML models being taken to production/deployment successfully
* Previous experience managing other data scientists / small team
* Fluency in Python and SQL and experience working in the cloud (such as AWS or Google Cloud) and with Git
* Familiarity with Deep Learning, specially Pytorch, and use of GPUs
* Excellent written and verbal communication skills and experience preparing and delivering presentations to non-technical audiences
* Inner motivation and drive to learn and master new technologies and skills
* Work Authorization is required to apply for this position.

# Our Benefits

* Fully remote role in a fully remote company
* Competitive salary
* Flexible PTO
* 401k with employer match
* Health Care Benefits

Machine learning

Python

Senior Data Scientist

TargetSmart is hiring a Data Analyst to support our quality, professional multi-channel fundraising programs for non-profits and progressive political organizations whose programs promote a more equitable and caring society.

The Data Analyst will work as part of the Fundraising Solutions team and report to the Data Manager to support the program through efficient and reliable data processes. They will be responsible for operating and improving the fundraising data systems used by staff and by clients. The Data Analyst will also be responsible for understating the program targeting and working with team management to create segment lists for fundraising programs.

The ideal candidate is a customer-focused problem solver who enjoys explaining the data to help the business run more smoothly. They will have the opportunity to contribute to the growth and scaling of the business, including the development of new offerings, by creating reports and insights based on data.

# Responsibilities:

* Ensure the successful timely creation and delivery of reports for internal and external stakeholders
* Assist in the development of analytics systems used to monitor and better understand the programs
* Assist with the operations of the dialing platform
* Execute the creation of segment lists and other data needed to run outreach programs
* Monitoring and troubleshooting of automated data processes that move data and create reports
* Provide data-driven insights that help guide the management of Fundraising Solutions programs
* Help staff understand and use the reported information
* Troubleshoot and ensure the resolution of data-related problems

# Requirements

* Intermediate experience with program targeting and segmentation
* Beginner experience with SQL (Postgres)
* Intermediate experience with Tableau
* Beginner experience in operation end-to-end data pipelines and reporting systems
* Experience working as part of a technical team and communicating with non-technical end users in other parts of the business

# TargetSmart Culture

TargetSmart thrives on a unique atmosphere and culture. Our professionals, at all levels, work primarily as virtual teams spread across the country. We encourage remote working and provide the necessary technology to facilitate it. We also foster an open environment (virtually, of course) where team members seek input from and are encouraged to collaborate and exchange ideas with their colleagues at all levels of the company. We decentralize decision-making wherever possible and put authority where the knowledge is. It’s our belief that this creates an atmosphere of respect and integrity where we all work together toward common goals. We believe that a diverse, inclusive staff is a fundamental strength. We’re committed to hiring people of all races, ethnicities, religions, ages, sex, genders, sexual orientations, and gender identities. Women, people of color, LGBTQ+ individuals, and members of untapped groups are welcome on our teams.

# TargetSmart Benefits

We offer a supportive workplace filled with dedicated and creative people and all the following benefits:

* COMPETITIVE COMPENSATION: Including a 401(k) with generous company matching.
* 100% REMOTE WORKING OPPORTUNITY: Always have been and always will be.
* TOP-NOTCH MEDICAL COVERAGE: Domestic-partner inclusive, health, dental, vision, life, cancer coverage, and long-term disability insurance for you and your dependents.
* GENEROUS PAID TIME OFF: 23 days of PTO per year. We believe in work-life balance and encourage you to use your time off. The company provides 10 ½ paid holidays per year.
* PAID PARENTAL LEAVE: 8 weeks of fully paid time off. All genders qualify equally, and the policy includes adoptions.

# About TargetSmart Communications

TargetSmart is a leading provider of political data and technology that enables campaigns and organizations to successfully communicate with large audiences, personalize outreach, and create lasting relationships. Our superior politically-focused, consultative approach combines consumer data, databases, data integration and consulting solutions for personalized multichannel marketing strategies. TargetSmart leverages over 25 years of experience in data management to deliver high-performance, reliable data products and solutions.

Tableau

Data Analyst

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit.

Location: Remote-Friendly 

Reddit is continuing to grow our teams with the best talent. This role is completely remote friendly and will continue to be after the pandemic. 

We are looking for a Machine Learning Data Scientist to work within the Ads Targeting team. You will work closely with engineers and product managers to 1) develop algorithms and toolings to empower various ML focused Targeting products, 2) shape the product roadmap and strategy.

# Responsibilities:

* Build machine learning models to improve ML focussed Ads Targeting products such as User Lookalike Models, Keyword Targeting, User Interest Matching.
* You will design metrics and mechanisms to understand and evaluate the performance of various Targeting products. 
* Be involved in all phases of modeling such as ideation, offline modeling, online implementation, experimentation, deploy and post-launch monitoring/measurements.
* Serve as a thought-partner for product managers, engineering managers in shaping the Targeting roadmap and strategy by identifying opportunities through deep-dive analyses and/or modeling.
* This role will have a lot of overlap with other Machine Learning Engineer roles, but will differ in a couple of areas. First is that you will work mainly on offline modeling and rely on engineers to productionize your models. Secondly, you will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs and data aggregations needed for training, testing and productionizing models. 

# Required Qualifications:

* 4+ years of experience in Data Science & Analytics or a related field
* Experience in machine learning applications of natural language processing, recommendation system, large scale unsupervised learning.
* Bachelor’s degree or above in Mathematics, Statistics, Machine Learning, Computer Science, Economics, or other quantitative fields
* Master’s or PhD degree is preferred but not required
* Strong analytical and communication skills
* Strong skills in SQL and programming (Python or R) 
* Understanding of experimentation and causal inference analyses
* Experience in online advertising is preferred but not required

# Benefits:

* Annual Personal & Professional development funds
* 401k matching plan
* Flexible PTO
* Paid holidays + Wellness days 

Analytics

Data Scientist

At Janus, we believe in a world where healthcare functions efficiently. Join us on our mission to improve the lives of administrative workers and fundamentally change the way work is done. Our team is building a world-class process improvement platform to help healthcare providers generate more cash with fewer resources.

Our Data Engineering team is committed to creating true, lasting value for our customers. They work closely with the Product and Customer Success teams as well as clients to build highly reliable and scalable data pipelines supporting our automation systems. Our Data Engineers use various methods to transform raw data into useful data systems, creates algorithms, and conducts statistical analysis. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. If you have strong analytical skills, are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

* Build data systems and pipelines
* Evaluate business needs and objectives
* Interpret trends and patterns
* Conduct complex data analysis and report on results
* Prepare data for prescriptive and predictive modeling
* Build algorithms and prototypes
* Combine raw information from different sources
* Explore ways to enhance data quality and reliability
* Identify opportunities for data acquisition
* Develop analytical tools and programs
* Collaborate with data scientists and architects on several projects

# Requirements

* 5+ years of relevant work experience
* Strong knowledge of ETL, and data pipelines
* SQL and database experience
* Knowledge of programming languages, Python specifically is a plus
* Experience with cloud environments, AWS specifically is a plus
* Experience with relational databases and models
* Strong communication skills
* Passion for growing your skills, tackling interesting work and complex problems
* Bachelor’s Degree in Computer Science, related field, or equivalent experience

# Benefits

* 100% Company Paid Medical for employee coverage & a generous contribution for dependent coverage.
* Unlimited PTO which is actually used! Take the time you need to be successful.
* Employee Stock Options because we are building something together and want to share in the value we create
* Work when and where you need with our flexible schedules and environments.
* Save for your retirement with a 401k plan

# Inclusivity

At Janus, we're committed to growing and empowering an inclusive community within our company and communities. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. We are an equal opportunities employer and encourage everyone to apply for our available positions, even if they don't meet every requirement — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community.

# We are the Shapers of Culture

Our employees are our greatest asset, and we are passionate about creating strong culture with deep purpose. We are entrepreneurial and focused, yet humble, empathetic and inclusive. We value the individual and tackle problems as a team. The best idea wins, and teams celebrate together. We're remote-first, well-funded, and growing fast!

We pride ourselves on being true to ourselves and authentic. We stand on the following tenets:

* Ownership - everyone is a contributor and is empowered to drive improvement.
* Curiosity - playing and learning every day.
* Eagerness - demolishing barriers to building and innovating.
* Radical Transparency - openness in communication and decision making across the organization.
* Partnership over Profit - prioritizing long-term relationships.
* Humility - we strive to be team players, setting aside ego.
* Community - nurturing an environment where all employees and partners can thrive.

Our team is fun, innovative and willing to rollup our sleeves to help each other succeed in a fast-paced environment.

Senior Data Engineer

Learning Source is a disruptive education startup focused on reprogramming educational experiences and outcomes. Our team is creating highly effective career-training programs for high-demand technical roles like Software Development and Cyber Security. We utilize the latest tech, making the education process more effective, affordable and accessible.

As Online Instructor of Data Science, this dynamic position is an online instructor position with curriculum development as you seek to provide a stellar end-to-end experience for students. Serve as the subject matter expert on Data Science related topics, design a comprehensive educational program which prepares students for a career in Data Science, Manage the production of course curriculum, hands-on exercises, workshops, and high-quality instructional video, speak at events, host workshops and stay involved in the local developer community. Work with mentors that support the Data Science program to ensure they are meeting the expectations of their role, provide feedback on how to improve, and ensure the student experience remains consistent. Learning Source will rely on you to ensure that we are adhering to all regulatory requirements and policies.

# Are you a good fit for Learning Source?

* You are passionate about education and technology.
* You embrace change and you are always excited to learn something new.
* You enjoy breaking down complex ideas into simpler, manageable tasks.
* You welcome a challenge and can improvise effective solutions.
* Your team looks to you as a leader, and a problem solver, enabling them to excel at their jobs.
* You prefer an entrepreneurial culture, where things move quickly, and your input is acted up

# Requirements

* Work From Home (Location Exclusion: MA, WA state, WA DC, CT, OR, CA, NY)
* Strong understanding in and deliver lectures and tutorials on:
* Probability and Statistics
* Data Engineering
* Machine learning
* Big Data
* SQL and NoSQL databases
* Scientific programming in Python and R
* A Bachelors Degree with 2+ years of experience in the industry
* Contribute to data science curriculum development
* Must have a passion for Data Story Telling and Data Analysis
* Experience in an industry dealing with data science or data engineering
* Excellent communication and organizational skills
* Present yourself in a professional manner

# Benefits

* Training & Development
* Fun & Energetic, Family-Based Environment
* Continuous Growth Opportunities
* Medical, Dental, & Vision Options
* Health Savings & Flexible Spending Options (HSA & FSA)
* Basic Life & Accident Insurance
* Short & Long-term Disability
* 401K Retirement Plan
* Learning Source is an Equal Opportunity employer. Minorities, women, veterans, and individuals with disabilities are encouraged to apply.

Big Data

Data Science Instructor

Adarga is a rapidly scaling organisation, and we are growing our technology department. As a Senior Data Scientist within the product team, you will bring your expertise to a full stack technology team working to solve Natural Language Processing (NLP) linguistic challenges. Adarga is product focussed and is developing the world’s leading AI software to provide effortless access to knowledge from real world data and enable our customers to make better decisions.

We are a remote first organisation with 90 people based across the United Kingdom.

# What will you be doing?

We are looking for an experienced Data Scientist with a strong mathematical background and experience in NLP. You will be hands-on with day-to-day project work focussed on developing the best solutions to deliver a roadmap which is aligned to core product features. You will also work alongside a product manager to develop new features. The senior data scientist will be working on projects which continually develop and improve our AI software using the appropriate MLOps tools to deploy, scale and monitor models in production.

As the Senior Data Scientist, you will report to the product tech lead and Data Science Manager.

# Requirements

* Detailed knowledge of AI techniques, including how to train, fine tune and apply deep learning models.
* NLP research is advancing at a rapid pace, an enthusiasm for continual learning is required to maintain your expertise.
* An experimentation mindset to solve business problems.
* Experience building Data Science solutions in a commercial environment and the ability to quantify improvements based upon analysis.
* Good awareness of software engineering and coding best practices.
* Excellent communication skills and awareness of project management techniques, capable of operating within a team of 6-7 people to influence and develop best practice.
* Ability to thrive effectively in predominantly remote working environment.
* PhD or equivalent professional experience in a data science role.

# Nice to have skills

* Experience of modern NLP techniques is an advantage.
* Experience of using data science platforms and frameworks, for data tagging, model training and benchmarking.
* Experience building and deploying solutions to the Cloud.
* Experience of the following technologies would be beneficial, Python, Seldon, Helm, Pachyderm, AWS or other cloud technologies, Kubernetes, Docker, Knowledge graphs, Graph databases, SQL and Relational databases.

# Further information

At Adarga we use Kanban principles and daily stand-ups to track work tasks and it will be your responsibility to attend these and document your work to ensure it is repeatable.

It will be necessary to take part in cross functional and cross team communication to enhance collaboration, these will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects. You will be set quarterly OKR’s and these will be reviewed frequently with your line manager. As a senior member of the team, you may be required to mentor junior team members, contribute to technology discussions, support academic and AI community engagements, marketing events, and recruitment activities.

# Adarga Benefits

* Hybrid working model available
* Adarga anywhere scheme offers you the chance to work wherever you like for part of the year
* Generous holiday package with an opportunity to buy and sell holiday
* Adarga share scheme available for all employees
* £1000 annual training budget
* Culture of knowledge sharing with Team Lunch and Learns
* Innovation Time- Collaborate with like-minded colleagues on projects that are important to you and the business
* Company MacBook
* Competitive Pension Scheme

Our company is CloudLinux Inc. – the maker of the #1 OS for web-hosting providers. We develop our products -- CloudLinux OS, KernelCare, Imunify360, and Imunify Email -- using the most innovative technologies. Our products are used by thousands of companies around the world, including Dell, GoDaddy, IBM, Zoom, and many others.

# Position Overview:

The Data Analyst is a key role in the Finance organization, reporting to the Managers of Finance Operations, and supporting the Finance and Support teams. This role will assist with the management of our data and will provide evidence-based insights to inform business decisions. Sources of data include Tableau, ZenDesk, PostgreSQL, ClickHouse, customer and revenue management systems (HubSpot and Chargebee), accounting systems, as well as web and social media analytics. The successful candidate will be curious, and constantly looking for ways to improve our performance based on insights derived from the data.

Work is fully remote, with flexible hours, so you can plan your day and work from anywhere in the world. Join us to make a difference!

# Responsibilities:

Corporate Data Structure Administration

* Build and maintain a comprehensive library of corporate data structures and architecture, acting as the subject matter expert on what data the company has, its reliability, how to get that data, and how to interpret that data.
* Manage and improve existing reporting systems and processes, including the creation of appropriate documentation that allows stakeholders to understand the steps of the data analysis process.
* Provide technical expertise on data storage structures, data mining, and data cleansing procedures.
* Internal Reporting and Data Validation
* Analyze data to answer key questions from stakeholders or proactively anticipated questions, with a focus on what drives business performance, investigating and communicating areas for improvement in efficiency and productivity.
* Regularly run and validate reports for each department, and work with managers to prioritize business information needs using relevant data.
* Work closely with the Finance and Support teams to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and delivering actionable insights to relevant decision-makers.

# Requirements

* Post-secondary education in Computer Science, Economics, Statistics, or equivalent degree.
* Prior experience as a Data Analyst, Business Analyst, Insights Analyst, or equivalent role.
* Experience and advanced capabilities with common reporting packages (such as Google Data Studio, Power BI, or Tableau), databases (SQL), programming languages (with a focus on Python), and Microsoft Excel.
* Technical writing experience in relevant areas, including queries, reports, and presentations.
* Experience in handling large data sets and relational databases, web analytics, and social media insights.

# What's in it for you?

* A great opportunity for professional development within the young and fast-growing company.
* Interesting and challenging projects.
* Knowledge-Exchange.
* Remote work with long-term employment on a full-time basis under contract.
* Flexible working hours.
* Paid one month vacation per year and sick leaves
* Medical insurance reimbursement.
* English educational programs
* Individual coach sessions.
* Ability to study and attend seminars and training according to the request.
* Co-working and gym/sports compensations
* The opportunity to receive a reward for the most innovative idea that the company can patent.

YouGov is an international market research and data analytics group.

Our mIssion is to supply a continuous stream of accurate data and insight into what the world thinks, so that companies, governments and institutions can better serve the people and communities that sustain them. 

We have the best data and the best tools. We continuously challenge conventional approaches to research, and we disrupt our industry to ensure that our clients always get the best solutions.

We are driven by a set of shared values. We are fast, fearless and innovative. We work diligently to get it right. We are guided by accuracy, ethics and proven methodologies. We respect and trust each other, and bring these values into everything that we do.

Each day, our highly engaged proprietary global panel of over 15 million people provides us with thousands of data points on consumer opinions, attitudes and behaviours. We combine this continuous stream of data with our research expertise to provide insights that enable intelligent decision-making and informed conversations.

With operations in the UK, North America, Mainland Europe, the Nordics, the Middle East, India and Asia Pacific, YouGov has one of the world’s largest research networks.

# The Culture

Diversity and inclusion are fundamental to YouGov. We are committed to giving the world a voice by capturing the opinions of all groups, including the ones that are often under-represented in research. We are also committed to making sure that our products and tools are free from any bias, as accuracy is key to what we do. None of the above can be done without having a truly diverse workforce, in an inclusive workplace. We are very keen on attracting and retaining the best talent. And best talent also means a diverse pool of talent, with various backgrounds and perspectives.

Supporting the wellbeing of our staff, including maintaining a good work and life balance, is important to us. We support flexible working arrangements where appropriate for a role, with many locations offering a hybrid office-and-remote working approach. 

As an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, veteran status, disability status, or any other characteristic protected by law. All employment decisions are made on the basis of occupational qualifications, merit, and business need.

# Job Description

We're looking for a data science engineer to join our lovely team at YouGov Signal! YouGov Signal is a department within YouGov, building data products serving the entertainment and other industries, with products including a web application and prediction models, as well as integrating our data with the top notch audience research data products of YouGov. As a former start-up, our structure is still very flat, with data scientists getting the opportunity to contribute their ideas to our coveted data products, which now enjoy also the cutting-edge, connected data universe of YouGov, and of course benefit from all the perks of being part of a top-tier, medium sized, growing, international tech and data company. 

The data you’ll be dealing with include engagement metrics across every piece of data across all major social platforms, on the one hand (YouGov Signal), online panel survey data (YouGov), as a well as the newest panel-based data source, YouGov Safe, where panelists are paid to upload data such as their TV Streaming history, Amazon Purchasing history and even banking data, giving us explicit permission to process it to create amazingly insightful data aggregates and products.

# Scope of work:

* Research, analyse and assess data
* Design algorithms and aggregates
* Work with the product owner, figuring out how best to turn the raw data into cool deliverables
* Generate and research data product ideas
* Build proof of concept solutions to validate the ideas
* Build (along with the development team) production implementation
* Extend and maintain existing production solutions

# Experience:

At least 2 years in the field or in a similar field (If you have more experience than that, we will pay accordingly, as we are hiring for multiple roles. To a large degree we can fit the role to your experience level)

Skills/requirements:

* Software / data engineering skills - Python, pandas, git
* Exploratory data analysis & data validation - Jupyter notebooks, matplotlib, seaborn, creative approaches
* Machine learning skills - Scikit learn, robust evaluation
* Well organised & methodical
* Good communication in English: both written and verbally
* Ownership and proactivity - Willing to participate in all phases of projects

# Nice to know:

* SQL
* Statistics
* Experience with Cloud Big Data tools and services (AWS preferred)
* PySpark
* NLP experience / other deep learning experience
* Docker
* Kedro
* Streamlit

Europe

Data Scientist / Data Engineer

TravelNest is an Edinburgh founded travel-tech startup. We help Owners of holiday vacation rental properties maximise their performance in a global Guest market. Today with our platform a Host can upload their property details once and be advertised for bookings across 30+ top travel sites including Airbnb, Booking.com, and Expedia.

Our ambition is to become the place a Host markets and manages their property. Providing everything from channel listings, to operational services, to facilitating direct bookings. A “super app” for vacation rental owners.

# About the Role

At present we're a small data team working closely with marketing, customer experience and product engineering teams on the full breadth of data work. We're doing everything from building data pipelines and defining and creating datasets, to building reports and dashboards, to more advanced data science and analytics. By joining our growing team you can help us translate business problems into practical, digestible analytics aiding our teams to be data informed and make better decisions. We are currently a team of 55 based across the UK working remotely/hybrid, following a recent funding round we have ambitious plans to scale our team and grow our product.

Our main dashboarding and reporting tools are Looker and Google Data Studio. While this is our current setup, we're not constrained by this stack. There's flexibility to choose the right tool for the job if that will deliver the outcomes we need.

# What you'll do

You'll bring our data together and make it available to TravelNest so we can all make better decisions on a daily basis.

What does that mean in practice? In any given week you could be:

* Defining core business metrics, creating dashboards and tools to monitor the health of the business
* You will be the data visualisation expert for the company helping to create a culture where our teams are evidence and data led
* You will collaborate with the wider data team, partnering with data engineering to reconcile data, ensure accuracy, quality and integrity throughout our data flow
* Collaborate closely with business leaders to inform on business strategy for future optimisation and growth
* You will spot trends and share actionable insights
* You are confident in presenting business recommendations and influencing stakeholders
* You are comfortable analysing data from multiple sources, bringing this together and distilling down into useful analytics
* Working with data scientists to build more advanced analytics into the product or to serve model outputs to teams around the business

# What we're looking for

* Previous Experience as a Data Analyst or Data Scientist
* Strong exploratory and data analysis and visualisation skills
* Deeply numerate and thrive in a software development environment where there is a deep connection between building great software products and data
* Confident presenting data to different audiences across our teams
* Experience using analytical tools such as Excel,
* Experience using SQL for accessing and manipulating data
* Experience processing large datasets (We also use Python extensively for more advanced analytical work. We use Git to version control all of our analytical projects)
* Previous experience accessing data in cloud computing environments (we use AWS for all of our data and engineering work e.g. S3 for data storage and AWS Glue/Athena for data warehousing and querying)
* Comfortable proactively managing your priorities, connecting these to business impact and displaying a high level of ownership and accountability towards your goals
* Excellent written and verbal English communication

# In Return

We offer a competitive salary, stock options, a great working environment and the opportunity to grow our product and business together.

We have recently hired fully remote employees throughout the UK and as we scale we endeavor to have a Remote-first/hybrid working environment.

Excel

AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs.

Hundreds of companies, and thousands of developers, use our APIs to both transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.

We’ve been growing at breakneck speed, and are backed by leading investors including Y Combinator’s AI Fund, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber, Coinbase, SpaceX, Instacart, Notion, and Cruise Automation).

AssemblyAI’s Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with well-known customers including Spotify, Algolia, Dow Jones, The Wall Street Journal, and NBCUniversal. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.

Join our world-class, remote team and help us build an iconic deep learning company.

# The Role:

AssemblyAI is growing quickly, and we’re searching for a Data Scientist to join our team. With significant investment and strong leadership to fuel our growth, it’s the perfect time to join the AssemblyAI team!

# In this role you’ll have the opportunity to:

* Leverage cloud services to process terabytes of data. Data is the lifeblood of deep learning models. Current SOTA models require massive quantities of high quality and relevant data. Cloud platforms like AWS and GCP enable processing terabytes of data in a matter of hours. You will be responsible for efficiently leveraging these platforms to quickly process new data and share this knowledge with the team through code libraries and examples.
* Ensure our models are generalizing well during inference. Our customers rely on our models being able to generalize to their data. It's imperative that we have a good understating of our training data and how well it represents our customers' use cases. Your analysis and automatic monitoring of our models' inference performance will help catch issues before they effect customers and enable us to adapt our models quickly to new domains.
* Be part of a world-class team of creative researchers & engineers. You will help strengthen the position of AssemblyAI as a leading company in AI research. Our deep learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. You will have the opportunity to use your insights to come up with hypotheses and test them through experimentation.

# Responsibilities:

* Engineer scalable pipelines for data procurement and preprocessing
* Drive best practices for the team when working with terabytes of data in a hybrid cloud environment
* Stay up to date on model evaluation research so that we can optimize metrics that align with human preferences
* Streamline production release QA process for new models to ensure we're not introducing quality regressions
* Present statistical and qualitative analysis of our data and model behaviour to the team

# Our Team:

We are a fully remote team made up of problem solvers, innovators and top AI researchers with 20+ years of experience in Machine Learning, Speech Recognition, and NLP from places like DeepMind, Google, Meta, Amazon, Apple, and Cisco. Our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.

As a remote company, our team members are given a lot of trust and autonomy to work where and how they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.

# Requirements

* 2+ experience as a data engineer, data scientist, or similar role
* 1+ experience with cloud platforms technology such as AWS or GCP
* Fluent in Python or similar programming languages
* Excellent written and oral communication skills in English

# Benefits

* Competitive Salary
* Equity
* 100% Remote team
* Unlimited PTO
* Premium Healthcare (100% Covered)
* Vision & Dental Care
* $1K budget for your home office setup
* New Macbook Pro (or PC if you prefer)
* 3-4x/year company paid team retreats

Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on.

Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 275,000 neighborhoods across 11 countries.

# Meet Your Future Neighbors

As a data scientist at Nextdoor, you’ll be responsible for design and oversight of product experiments, own complex analysis to drive company and product strategy, and deploy online and offline models to a production environment. We use a semi-embedded team structure, in which a group of data team members works on a specific product or pillar, interfacing directly with product and engineering stakeholders. The Data Science group is made up of people from a diverse set of backgrounds and perspectives, trained in fields as wide-ranging as psychology, geology, physics, and statistics. We are the mathematical decision scientists for their product development organization and play an active and collaborative role in building and improving the product.

# The Impact You’ll Make

At Nextdoor, Data Scientists have the opportunity to work across a wide range of problem areas, including member and small business onboarding, growth, feed ranking, community vitality, monetization, and experimentation. This role focuses on causal inference analysis, metric design, and exploratory investigation. The work is essential to the growth and success of the company and involves frequent opportunities to deploy code as well as showcase progress to teammates, stakeholders, and company leadership. 

# What You’ll Bring To The Team

* Advanced degree in a quantitative field and 3+ years working in data science, product analytics, or machine learning, or equivalent
* Excellent knowledge of Python or R, including common scientific computing packages and data science tools such as numpy, pandas, and scikit-learn
* Expertise with methods, tools, and packages for statistical modeling and machine learning
* Experience formulating, running, and sharing complex analyses, including different types of experiments, causal inference studies, and other exploratory analysis work
* Experience architecting, debugging, and executing complex SQL queries
* Intermediate knowledge of at least one big data technology such as Hive, Presto, or Spark
* Excellent written and oral communication, including ability to effectively communicate complexity to a diverse group of stakeholders
* Curiosity about how things work, from both a business and technical perspective
* A collaborative spirit and a commitment to community

It’s ok if you don’t have all of these requirements; if you think you’d be a good fit for the role, please get in touch with us

# Bonus Points

* Work experience related to social or community-based products
* Work experience related to small businesses and marketplaces
* Work experience related to advertising and auction systems
* Expertise deploying models to production
* Expertise in testing and evaluating the impact of network effects
* Knowledge of web applications and service-oriented architecture

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we seek to serve. We encourage everyone interested in our purpose to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

Spark

North America

We're looking for Senior Data Scientists to join the Data Insights team at Zapier.

Data Insights is responsible for driving impactful insight, experimentation, and quantitative research at Zapier. We work across Product, Growth & Revenue, Marketing, and Support, steering our business stakeholders to make data-informed decisions and deepening business understanding of opportunities and risks.

Our Data Scientists are semi-embedded into different business zones, developing tight-knit thought partnerships with key stakeholders. We’re hiring for a range of zones, so if you are a creative quantitative analyst interested in helping to grow a product that helps the world automate their work so they can get back to living, this may be the right challenge for you!

# About You

* You are a skilled written communicator. Zapier is a 100% remote team and writing is our primary means of communication. You communicate complex technical topics clearly and in an approachable way.
* You have hands-on experience in defining and analyzing large, complex datasets, finding actionable business solutions to loosely defined revenue and operations problems. 
* You have proven stakeholder management expertise. As a collaborative thought partner, you're gifted at explaining your findings clearly to a non-technical audience. You’re also excited by helping your team and stakeholders develop KPIs and self-serve dashboards. We believe in empowering our stakeholders to build their own dashboards and own their own first-order analysis.
* You’re technically competent with relevant analytics tools (e.g. Python or R), including at least one SQL dialect - they’re all about the same; we happen to use Redshift.
* You have deep expertise in designing and analyzing rigorous experiments of varying degrees of complexity. This includes mastery of at least one data visualization tool. We primarily use Looker.
* You combine your strong business acumen with statistical expertise (e.g. confidence intervals, regression modeling, significance testing). This includes demonstrated experience with common machine learning techniques for deep data mining and exploration (e.g. predictive modeling, time series modeling, classification, and clustering techniques).
* You care about the details and understand that without high-quality instrumentation, we cannot drive high-quality, impactful insights.
* You enjoy collaboration and knowledge sharing. You appreciate our team’s values of eagerness to collaborate with teammates with any level of statistical knowledge, iterating over your deliverables, and being curious. 
* You understand that perfect is the enemy of good. You will default to action by initially shipping solutions that simply work and work simply while iterating as needed.

# Things You Might Do

Zapier is a fast-growing and remote-first company, so you'll get experience on many different projects to support our stakeholders. Here are some things you might get to help our teams with:

* Analyze user behavior to find and explain novel drivers of key outcomes, such as activation, engagement, upgrades, and churn. Work with business teams to design, analyze and interpret experiments that help them to improve these metrics.
* Drive proactive analysis/research into high-potential green fields.
* Use a variety of statistical methods to explore, discover and present user and market insights in order to proactively guide a range of business decisions, such as how Zapier strategically positions itself in the automation market.
* Ensure all teams have insight to data and can answer their own first-order questions.
* Develop data literacy programs and provide easy-to-use tools with clear documentation, examples, and tutorials.
* Perform basic ETL tasks to model new dimensions and facts in our data warehouse’s dimensional model. For the heavier lifts, you’ll be supported by Data Warehouse Engineering colleagues.
* Tools you’ll probably use include AWS Redshift, SQL, Looker, Amplitude, DBT, Matillion ETL, and Python or R.
* As a part of Zapier's all-hands philosophy, help customers via support to ensure they have the best experience possible.
* Travel - we come together 2-3 times per year for our employee retreats, typically in North America. You should expect to travel between 5 percent.

# The Whole Package

Our flexible, distributed environment lets us work with the best people from around the world. Zapiens live in 40+ countries, including the United Kingdom, Thailand, India, Nigeria, Taiwan, Guatemala, New Zealand, Australia, and more!

Zapier offers:

* Competitive salary and profit-sharing program
* Equity for All: Stock options (or equivalent) for every Zapien
* Healthcare + dental + vision coverage*
* Retirement plan with 4% company match*
* $2,000 annual learning stipend for use on courses, conferences, and more—your choice
* Two annual all-company retreats
* 14 weeks paid leave for new parents of biological or adopted children
* Customized Zapiversary rewards on your 1, 3, 5, 7 and 10 year work anniversaries
* Leading-edge equipment. We set you up with an Apple laptop and provide an additional budget for you to choose other home office accessories and software you may need.
* Time to renew. We encourage Zapiens to take at least 2 weeks off each year. Most of us take 4-5 weeks, in addition to locally recognized holidays
* Opportunity to work with Zapier’s amazing partners network

Measured Analytics and Insurance is a high-growth Insurtech based in Salt Lake City, Utah. We're building smarter cyber insurance products designed specifically for the future of digital risk powered by artificial intelligence and machine learning. At Measured, we passionately believe in the power of data to drive better outcomes for our customers. 

# Job Description

We are looking for a Data Scientist to play a critical role in our growing Data Science team, building the best-in-class cyber insurance risk modeling technology. The ideal candidate will be responsible for developing advanced analytics and machine learning models across multiple product channels. If you are passionate about transforming data into actionable insights, we want to talk to you.

The things we'd like you to do: 

* Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions
* Collaborate with data engineers, data stewards, product owners and business users to support projects through the end-to-end data science lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment
* Apply a variety of advanced analytical techniques, including predictive modeling, machine learning, time series analysis, simulation, and optimization
* Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling
* Communicate complex analytical work to a variety of technical and non-technical stakeholders
* Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications
* Work with the engineering team to integrate risk models with Measured’s cyber-insurance products
* Deliver with a user experience mindset, including the production of visualizations and infographics to distill complex information

# Qualifications

* BS/BA in Statistics, Mathematics, Computer Science, Data Science, Engineering or quantitative field; Masters in Data Science is preferred or an additional 3 years of relative experience beyond the minimum requirement may be substituted in lieu of a degree
* Knowledge of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering
* Some knowledge and experience in scripting and programming with Python, Jupyter notebooks and ML/Data Analytics libraries
* Aptitude for learning and applying new technologies related to Data Science and Data Management
* Working knowledge of Data Engineering tools on AWS such as Glue, Athena, S3

# Additional Information

* Get in on the ground floor of a new & growing company
* Significant career advancement opportunities in an expanding operation. 
* The chance to have direct input on shaping company strategy and direction 
* Autonomy while being supported by skilled teammates  
* Ability to work remotely 

Statistics

Defending the health and integrity of the public conversation is Twitter’s top priority. The Health Data Science Team partners with Product, Engineering, and Policy to rigorously understand and quantify Twitter's highly complex and adversarial Health space and use this understanding to empower the Health Organization to better protect our users.

# As a Data Scientist on the Health Data Science Team you will:

* Leverage data to identify unwanted interactions, violations of Twitter’s policies, misinformation, and other platform abuse then mitigate those issues with models or quantitatively driven product changes. 
* Design, implement, and analyze experiments to determine how new models or products improve the health of the platform. 
* Conduct analyses to better understand the determinants of the health and integrity on Twitter. Use this understanding to suggest product improvements. 
* Create accurate and statistically sound summary metrics to evaluate the performance of Health related products and motivate teams’ targets/KRs.
* Communicate findings to executives and cross-functional teams.
* Review other data scientists’ code and results to foster a culture of rigorous analysis and constructive feedback. 
* Help set the team direction by driving cross-functional alignment on projects and priorities.

# Qualifications

* Advanced degree in a discipline that uses statistical analysis or mathematical modeling and 4+ years of work experience (or 7+ years of total work experience).
* Experience measuring and mitigating consumer products’ vulnerability to manipulation and subversion.
* Experience with one or more of the following in an applied business setting: experimental design and analysis, quasi-experimental analysis, and machine learning.
* Track record for executing projects and leading complex, multi-functional projects with several dependencies, including Legal and Policy teams.
* Strong proficiency with Python / R and SQL; familiarity with Spark.
* Experience mentoring junior data scientists. 

# Additional Information

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

The expected salary range for this role to be performed in Colorado is USD$167,000.00 - USD$234,000.00. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. This range may be modified in the future.

This job is also eligible for participation in Twitter’s Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.

Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave. Twitter's benefits prioritize employee wellness and progressive support to our diverse workforce.

Since we first opened our doors in 2009, the world of commerce has evolved immensely – and so has Square. After enabling anyone to take a payment and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together. So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, run a busy kitchen, book appointments, engage loyal buyers, and hire and pay staff. And across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow all in one place.

Today, we’re a partner to sellers of all sizes – large, enterprise-scale businesses with complex commerce operations, sellers just starting out, as well as merchants who began selling with Square and have grown larger over time. As our sellers scale, so do our solutions. We all grow together. 

There is a massive opportunity in front of us. We’re building a business that is big, meaningful, and lasting. And we are helping sellers around the world do the same.

# Job Description

We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You'll build processes to root out high-risk activity across the Square platform of products. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements through machine learning solutions or analysis.

The Risk Data Scientist will use analytical skills to identify and prevent the payment risks. You will lead experimentations to promote Risk effectiveness throughout Square. You will partner with product, engineering, operations, policies and sales to influence Squares global Risk road map and processes. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.

You Will:

* Diagnose problems and develop compelling, data-driven recommendations
* Develop and maintain multiple data pipelines and ETLs
* Partner with Product, Engineering, and operation teams to design solutions to business problems, influence product roadmaps, and solution new products/processes
* Have a chance to use machine learning tools to develop data-driven solutions.
* Promote creative risk solutions through third-party evaluation and integration with a focus on improving the seller experience
* Develop executive presentations for Squares leadership

# Qualifications

* A BS/BA in Statistics, Mathematics, Operations Research, Engineering, Computer Science, Economics, or a related quantitative/technical field
* 7+ years of relevant experience (or masters and 4+ years)
* Experience with SQL, Python and Looker
* Experience with machine learning model development and deployment
* Experience driving data-driven solutions and project-managing their implementation
* Experience answering unstructured questions and managing projects and tasks to a conclusion
* A passion for Square's mission
* Experience risk, trust and safety, payments, or spam prevention

# Additional Information

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

# Perks

We want you to be well and thrive. Our global benefits package includes:

* Healthcare coverage
* Retirement Plans
* Employee Stock Purchase Program
* Wellness perks
* Paid parental leave
* Paid time off
* Learning and Development resources

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

# Perks

We want you to be well and thrive. Our global benefits package includes:

* Healthcare coverage
* Retirement Plans
* Employee Stock Purchase Program
* Wellness perks
* Paid parental leave
* Paid time off
* Learning and Development resources

Staff Data Scientist

Storyblok makes it easier to submit, reuse and publish content on multiple channels. Non-technical people can create and update content quickly without referring back to developers. This allows the developers to focus on designing fast and reliable solutions that delight across all platforms. See us live on Adidas, Deliveroo, and Pizza Hut’s websites.

We are a remote-first, international startup. This means you will be trusted to work flexible local hours. So far our team is made up of 35 nationalities living in 33 countries with 39% of our talent identifying as female. Your diversity will be respected and celebrated and we live by our values.

# What is in it for you

We have been ranked as the 5th most flexible company to work for. You will be joining a growing company where you can contribute to many “firsts”.  Plus these benefits:

* Home office setup allowance or membership to a local co-working space
* A team that loves to have  fun at work and works hard together to accomplish shared goals 
* The annual international team-building trip, plus quarterly and monthly online get-togethers
* 25 days of annual leave (not including sick leave) plus your local national holidays
* Personal development fund for courses, conferences, and material
* Very supportive team members who will help support you along your way 
* Employee options scheme
* As a fully remote company with work-life balance at its core, you'll enjoy flexible schedules

# Job Description

In this role, you will be our analytical data expert who has the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

* Identify valuable data sources and automate collection processes
* Analyze large amounts of information to discover trends and patterns
* Prepare and present data in the best possible ways for decision making and problem-solving
* Propose solutions and strategies to business challenges
* Build, train and test predictive models and machine-learning algorithms when necessary
* Communicate findings to all stakeholders
* Collaborate with engineering and product development teams

# Qualifications

* Strong analytical and problem-solving skills
* Experience using SQL to manage and manipulate data for analysis as well as meaningful hands-on experience in Python to deliver data science solutions
* Experience with relational databases (e.g. Amazon Redshift)
* Experience using business intelligence tools (e.g. Metabase)
* Excellent written and verbal communication skills for coordinating across teams
* A drive to learn and master new technologies and techniques
* Passion for remote working

# Additional Information

For Austrian employees: The employment is in accordance with the collective salary and wage agreement for employees of “Angestellte von Unternehmen im Bereich Dienstleistungen in der automatischen Datenverarbeitung und Informationstechnik” ST1 Einstiegsstufe. We offer a higher compensation depending on your experience and skills.

Redshift

At Vouched we are building a powerful identity verification platform to provide access worldwide to life’s most critical services, including healthcare, benefits, and financial services. Vouched makes identity verification easy with a combination of a patent-pending AI cloud solution, at the edge ML, and APIs.

# What we do

* Verify thousands of people every day across multiple countries and industries providing access to critical services
* Serve fast-growing startups, unicorns, and large enterprises, with a focus on providing fast, easy integration for developers
* Run on a modern cloud infrastructure powered by automated integration and unit testing, provisioning, deployments, monitoring, and notifications
* Drive to own the market and deliver a world-changing client and end-user experience

# What you will Do

As a Data Scientist, you'll evaluate and monitor our models, their performance, and their effects on our customers. Additionally, you'll identify potential problems or opportunities for improvement, communicate these issues to the team, and suggest solutions. This involves self-directed investigation into our business and its data, designing and preparing regular reports, as well as conducting ad hoc analyses for the Machine Learning team, company leadership, and external parties.

# Who we are looking for

* 2+ years' in data science or related experience in a production setting.
* Knowledgeable in applied statistics (e.g., AB testing, hypothesis testing, linear and logistic regression).
* Experience with Python or R as well as SQL.
* Strong sense of intellectual curiosity balanced with humility, drive and teamwork. Numerically-savvy and smart with ability to operate at a speedy pace.
* Ability to quickly piece together disparate pieces of information to form a broader picture. Ability to use data to detect bugs, surprises, and other important business issues. Determination to pursue a question until reaching a satisfactory conclusion.
* Data visualization skills preferred.
* Enthusiasm for and alignment with Vouched's mission and values.
* MS or PhD in econometrics, applied statistics or related quantitative areas of study.

# Benefits

* Flexible paid time off
* Healthcare
* Vision
* Equity compensation
* Remote workplace
* Parental leave

A/B testing

Storyblok makes it easier to submit, reuse and publish content on multiple channels. Non-technical people can create and update content quickly without referring back to developers. This allows the developers to focus on designing fast and reliable solutions that delight across all platforms. See us live on Adidas, Deliveroo, and Pizza Hut’s websites.

We are a remote-first, international startup. This means you will be trusted to work flexible local hours. So far our team is made up of 35 nationalities living in 33 countries with 39% of talent identifying as female. Your diversity will be respected and celebrated and we live by our values.

# What is in it for you

We have been ranked as the 5th most flexible company to work for. You will be joining a growing company where you can contribute to many “firsts”.  Plus these benefits:

* Home office setup allowance or membership to a local co-working space
* A team that loves to have  fun at work and works hard together to accomplish shared goals 
* The annual international team-building trip, plus quarterly and monthly online get-togethers
* 25 days of annual leave (not including sick leave) plus your local national holidays
* Personal development fund for courses, conferences, and material
* Very supportive team members who will help support you along your way 
* Employee options scheme

# Job Description

In this role, you will be our analytical data expert who has the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

* Define data models that tie together disparate data across the entire organization.
* Create data transformation logic to convert raw data to fit the new data models that make sense for the users.
* Define the metrics we use to measure the success and health of our product as well as business and track them through KPIs and dashboards.
* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
* Influence leadership to drive more data-informed decisions
* Identify valuable data sources and automate collection processes
* Undertake to preprocess of structured and unstructured data
* Analyze large amounts of information to discover trends and patterns
* Build predictive models and machine-learning algorithms
* Develop and improve databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
* Acquire data from primary or secondary data sources and maintain databases/data systems
* Identify, analyze, and interpret trends or patterns in complex data sets
* Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
* Work with management to prioritize business and information needs
* Locate and define new process improvement opportunities

# Qualifications

* ​​Strong problem-solving skills with an emphasis on product development
* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
* Experience working with and creating data architectures
* Excellent written and verbal communication skills for coordinating across teams
* A drive to learn and master new technologies and techniques
* Passion for remote working

# Additional Information

For Austrian employees: The employment is in accordance with the collective salary and wage agreement for employees of “Angestellte von Unternehmen im Bereich Dienstleistungen in der automatischen Datenverarbeitung und Informationstechnik” ST1 Einstiegsstufe. We offer a higher compensation depending on your experience and skills.

Here at Neuro-ID, you will be joining a best-in-class team on a trajectory of tremendous growth. We are a Series-B start-up, backed by top tier investors Canapi Ventures, FinVC Capital, and TTV Capital and we serve some of the largest names across various industries such as Intuit, Square, Affirm, Mission Lane, Petal, and others.

We are pioneering the behavioral analytics space, providing a new standard for collecting, translating and actioning on the real-time behaviors of digital interactions. Through a body of patented technology, Neuro-ID developed the Friction Index™, leveraging over a decade of scientific research and discovery in Human-Computer Interaction (HCI) to measure both customer Intent and Experience. For companies, this real-time behavioral data is used during the digital onboarding process to segment genuine from fraudulent customers, enabling them to maximize conversion, reduce false positives and stop sophisticated fraud.

Founded by 2 world-renowned PhDs, and led by a team of seasoned executives, we continue to make strategic key additions to our team to expand our product offerings and enter new verticals.

# Come join our team!

We have a large and unique data set with a unique set of challenges. It has tremendous potential. We are looking for a Data Scientist to join our team, and work on analysis and modeling.

# What You Will Do

* Research and develop ML learning models and technology to power Neuro-ID products
* Data analysis and visualization

# Who You Are

* Minimum Master’s Degree in Computer Science, Math, Statistics, Natural Sciences, Data Science, Machine Learning or related technical fields
* 1-3 years experience delivering data science projects analyzing and modeling real-world problems
* Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, etc.)
* Familiar with Python (pandas, numpy, scikit-learn etc) and SQL, experience with Snowflake and/or Looker is a plus
* Ability to adapt to a fast paced and flexible work environment

# Life at Neuro-ID:

Neuro-ID is in hyper-growth mode, and the team here has a lot of ambition. However, what sets us apart from the rest is that the culture at Neuro-ID is truly special. It just might be that once in a lifetime opportunity. And it’s not just the tech, or the market opp, it’s also the people. Our headquarters are nestled in a quiet section of Montana’s Rocky Mountains, but our distributed enterprise has the ambition to change the digital world. And we’re doing just that each and every day by up-leveling world class organizations' digital strategies for fraud and CX with behavior. We work very hard, we are very focused, and the environment is incredibly dynamic. However, we make time to celebrate and build culture. We believe wholeheartedly that the journey should be memorable, enjoyable, and meaningful, even if it’s not easy.

* Compensation: Competitive salary and equity package (Own a slice of a rocket ship!)
* Team: Remote “Connected” Workforce, quarterly culture events with regional team, functional team quarterly planning offsites, monthly all team celebration meetings, All Access We Work Cards, annual all team summits in Whitefish, MT, and MORE all in service to create a connected, but flexible workforce.
* Wellness: Healthy people are happy people! We offer comprehensive and top tier health, dental, vision, FSA, DCA, 401K, monthly wellness stipend for gym memberships, strava licenses, or really anything related to wellness.
* Education: Annual education reimbursement for an approved education purpose, course, books, podcast subscription, etc.
* Tech: Technology Station Kit: Computer (Mac or PC Choice), Monitor(s), Keyboard, Mouse, Dongles, HeadSet; Remote Work Comfort Stipend: Annual stipend to continually improve your remote work set-up
* Location: Our flagship “HQ” nestled in beautiful Whitefish, Montana with over 5000 square of office space and thousands of acres of outdoor adventure space for our remote employees to enjoy when in town for off-sites.
* Competitive PTO Policy: Recharging when you are running hard is crucial! We stress work/life balance. Our PTO policies include the entire office closure for the whole week between Christmas Eve and New Years Day for recharging prior to the New Year!

# About this Job

The Data Analyst provides consultation and investigation on NielsenIQ Product Insights (NPI) 1.0 and 2.0 characteristics with regards to definitions, coverage, category applicability and assistance as needed for Client Inquiries.  This role will work closely with internal teams to make recommendations on solutions that best address client’s needs. 

# Job Responsibilities

* Provide both internal and external consultation related to NPI 1.0 & 2.0 product characteristic coding definitions and operational processes including reporting capabilities.
* Solid understanding of overall NielsenIQ deliverables, platforms, tools, Item Coding BDPs and operational capabilities and limitations to effectively provide consultative leadership.
* Solid understanding of Label Insight NPI 1.0 & 2.0 deliverables, platforms, tools, Item Coding BDPs and operational capabilities and limitations to effectively provide consultative leadership.
* Analyze, interpret & translate client business needs for NPI data and make recommendations based on empirical evidence that solves key business issues.
* Appropriately set and manage expectations regarding NPI coding process & database capabilities with all stakeholders.
* Adaptability to changing workflows & processes in the ever-evolving landscape of delivery systems.
* Refine high level business requirements through analysis to ensure proper design; identify & discuss any constraints to design, process, or delivery with stakeholders.
* Accurately interpret business requirements to the execution team and provide consultation as needed.
* Provide visualizations to support training and explanation of the NPI data for internal operations process documentation.
* Utilize input tools and applications that automate processes and analyze data to ensure consistency, completeness, and correctness of the data.

# Qualifications

* Bachelor’s degree
* 3-5 years of experience as an Analyst; CPG or Retail preferred
* Outlook, Excel, PowerPoint, Google Drive & Sheets, Salesforce, JIRA, Postman
* NIQ’s Connect/Discover, AOD, OGRDS, Label Insight Explore Market Navigator, Trending Attributes, MS Office Suite, MS Dynamic, NIQ internal portals a plus

Qualifications Additional Information All your information will be kept confidential according to EEO guidelines.

# About NielsenIQ

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population.

Salesforce

We’re on a mission to get more money in the hands of more women+. We’re looking for a dedicated Senior Data Science and Analytics professional to join our team. You will work to provide the analysis and insights that can drive our decision making and strategic planning processes. 

In this role, you will be responsible for collaborating with stakeholders to develop meaningful analytical solutions that help us make decisions and tell a great story. You will also have the opportunity to build and produce scalable models to acquire members, recommend products and next steps, identify customer segments, and boost membership, user engagement, and revenue. We’re growing quickly, and we’re looking for a passionate, experienced, and outcome-driven leader to develop and grow a team dedicated to enabling our organization with analytics and insights.

# You will:

* Develop the Data & Analytics strategy, capabilities and agenda with key stakeholders; establish a long-term roadmap for providing deep business intelligence.
* Drive data-driven decisions and advance our data-focused culture. Proactively identify business opportunities and risks within the model to help the organization reach its goals.
* Collaborate with cross-functional leaders to define the metrics & KPIs that drive results, enable our teams to leverage data to improve performance, and design experiments that provide insights
* Work with stakeholders across the business to develop requirements and data models that support business initiatives.
* Build data-based tools and models for continuous product performance monitoring and optimization
* Build and develop machine learning models to make the product more dynamic
* Research & implement new statistical or other mathematical methodologies as needed for specific models or analysis
* Maintain high quality reporting /dashboards that present insights derived from data across the organization.

# You have:

* At least 6+ years of professional data analysis/business intelligence experience
* Creative thinker on both a strategic and tactical level, with a strong bias to action.
* Self-directed, ambitious, team player, and a strong communicator
* Extensive background in data mining and statistical analysis; excellent pattern recognition and predictive modeling skills
* Significant experience in manipulating data including use of SQL queries, API calls and ETL methods
* A degree or professional experience in applied mathematics, statistics or computer science 
* Experience working with data visualization or business intelligence tools (Tableau, Chart.io, Metabase etc.)
* Passion for our mission

# Do you think you could thrive in this role?

Please send us your application — even if you don’t check every single box. No two people’s career paths look exactly alike, and skill sets come in many different forms. We can’t wait to hear about yours.

# About Ellevest

Ellevest is a fast-growing, venture-backed financial services start-up built by women, for women. Our mission is to get more money in the hands of women, no matter where they’re starting or how far they’ve come. We started by building the only gender-aware online investing platform that takes totally un-ignorable realities (like pay gaps, different salary curves, and women’s longer lifespans) into account. Then we added banking, learning, and money and career coaching services for Ellevest members, plus a full-service private wealth management service that helps high net worth people, families, and institutions align their financial power with their values.

Ellevest was co-founded by Wall Street veteran Sallie Krawcheck after she realized that the financial services industry was built by men, for men, systemically leaving women behind. During her Wall Street days, she served as CEO of Smith Barney, CEO of Merrill Lynch Wealth Management, and CFO of Citi. 

# Working at Ellevest

Ellevest was founded in New York City, but today, our fully remote team is spread across the whole United States. As a member of the team, you can expect to do work that directly impacts our mission and the lives of real women every day.

Data shows that diverse teams are more innovative, make better decisions, and lead to greater employee engagement. When hiring, we look for culture add, not culture fit. That means hiring people who bring new perspectives and different experiences to our team. 

We’re also dedicated to building a work environment where everyone on our team can grow and thrive, with flexible working hours and time off; remote work policies designed for transparency and effective cross-team collaboration; ongoing team building and professional development; and more. 

We are looking to add a certified Data Analyst to our team who will help us turn data into information, gain insights, and develop business decisions based on the analysis results. This individual reports to the CTO and will deliver meaningful analysis of our consumer's experience. The Data Analyst is part of the engineering team and is primarily responsible for analyzing data and producing reports, graphs, and charts utilizing SQL and modern BI Tools. Additionally, the Data Analyst will participate in engineering projects to ensure relevant data is captured within all systems.

# Data Analyst responsibilities are:

* Using data mining to extract information from data sets and identify correlations and patterns.
* Organizing and transforming information into comprehensible structures.
* Using data to predict trends in the customer base.
* Interpreting data, analyzing results using statistical techniques.
* Using BI tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
* Preparing reports and presenting these to management and or clients.
* Communicating with stakeholders to understand data content and business requirements.
* Monitoring data quality and removing/correcting corrupt data.
* Acquire data from primary or secondary data sources and maintain databases/data systems.
* Technical expertise regarding data models, database design development, data mining and segmentation techniques.

# Data Analyst requirements are:

* 2 - 5 years of reporting or data analytics experience or experience working in a Data Analyst or Business Data Analyst position
* Significant experience of working with data models, database design development, data mining and segmentation techniques
* Proficiency in SQL, QuickSight, databases (Postrgres, MySQL) is required
* Proficiency in Office Suites and various other business applications
* Experience with writing ETL scripts in Python
* Experience with customer data platforms (CDP) such as Segment, AppsFlyer and Google Analytics is a plus
* Excellent knowledge of statistics and experience using statistical packages for analyzing datasets, including Excel, SPSS, SAS, etc.
* Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
* Adept at queries, report writing, presenting, and verbal communication skills
* Ability to operate effectively as part of a project team or individually
* BS Degree in Mathematics, Economics, Computer Science, Information Management or Statistics is a plus but not a must.
* Option to be fully remote but must be able to work during normal business hours

# Benefits:

* 401(k)
* 401(k) matching
* Dental insurance
* Disability insurance
* Flexible spending account
* Health insurance
* Health savings account
* Life insurance
* Paid time off
* Referral program
* Retirement plan
* Tuition reimbursement
* Vision insurance

MotorK is the leading sales and marketing technology company in Europe, specialized in the automotive sector. At MotorK our mission is to empower manufacturers and dealerships to sell more with innovative, cloud-based products and services to offer the best digital customer experience.

We are on a fast and ambitious trajectory and serving 90% of the automotive manufacturers. To continue our growth, we are hiring new talents. If you want to spark the future of the automotive world, join us.

# What we believe in

We have five core values to live by and they make MotorK an amazing place to work.

* Innovative: we will transform the automotive marketplace
* Growth: we play on the global stage and we set ambitious goals for our people and products
* Passionate about our customers: we live & breathe Automotive, we're committed to long-term customer relationships, we win when our customers win
* Family spirit: we trust, support and respect each other, working together toward shared goals
* Do the right thing: we champion diversity & equality in our teams, we conduct ourselves with integrity and keep our promises

We are looking for a Data Analyst to start immediately as a part of our Product Analytics team. You will play a key role in setting the direction of product development supporting Heads of Product and Product Managers in making data informed decisions on the future of our platform.

# Role mission

As a Data Analyst you will be a part of the Product Development organisation and you will deep dive into the world of users’ data and face various analytical challenges, from setting up continuous monitoring of the product performance to providing unique insights on user interactions with the product. You will be able to get familiar with the product development process and help shape the future of the product, test and validate hypotheses, find product bottlenecks, suggest solutions, implement data tracking and see the real impact of your work on the business.

# Key responsibilities

As a Data Analyst you will be a part of the Product Development organisation and you will deep dive into the world of users’ data and face various analytical challenges, from setting up continuous monitoring of the product performance to providing unique insights on user interactions with the product. You will be able to get familiar with the product development process and help shape the future of the product, test and validate hypotheses, find product bottlenecks, suggest solutions, implement data tracking and see the real impact of your work on the business.

# Requirements

* 3+ years’ demonstrated and relevant experience in Analytics
* Bachelor’s/ Master’s degree in computer science, mathematics, IT, or related field
* Ability to work with unstructured data (often Big Data)
* 3+ years’ experience with SQL
* Ability to proactively gather and understand complex reporting requirements
* Ability to present insights in a concise and clear way to non-technical audiences
* Proficient in English

# Desired

* R/Python programming language
* Prior experience in Product Analytics
* Outstanding data visualisation skills
* Experience with data integration, ETL solutions
* Understanding of statistical analysis and experience with A/ B testing will be a plus
* Solution-oriented mindset and outside of the box thinking
* Ability to work independently in an unstructured environment

# Benefits

* Multicultural environment
* Fully remote and distributed teams
* Flat hierarchies, fast decision-making processes and an inspiring work environment
* Personal development budget
* Competitive salary

The world runs on open source, and projects need more than a version or source control system to scale. The Linux Foundation has evolved a proven methodology to transform projects into category leaders. LFX operationalizes this approach, providing a suite of tools built to facilitate every aspect of open source development. Critical projects must have their finger on the pulse of their entire developer ecosystem, with tools tailored to key stakeholders driving project development, including maintainers, contributors, community managers, marketers, and more.

Prefer experience working with one or more of these technologies:

* AWS
* Serverless Framework
* API Gateway
* CICD Pipelines (CircleCI / Gitlab CI / Jenkins)
* Data Engineering
* ML Engineering
* MLOps

Must have solid experience in following areas:

* Data Science and Engineering
* Experience with large-scale data frameworks such as Spark, Hive, or Hadoop
* Proficiency in SQL and programming in Python or R 
* Strong coding experience. Experience with open-source ML packages (specifically sklearn,           
* TensorFlow/Keras/PyTorch)
* Experience in Recommendation Systems, Personalization, Search, or Deep Learning
* Building web-scale parallel and distributed computing systems (optional)
* Strong background in math, statistics, or numerical computation
* AWS experience

# Qualifications

* Bachelor's Degree in Software Engineering, CS (or similar field), or equivalent with 5+ years of relevant experience
* Strong familiarity with SQL and data modeling concepts, in either a relational or data warehousing context.
* Expert at building performant data pipelines and optimizing existing workflows using Hadoop, Spark, Pig, Hive, Presto, Trino etc.
* Experience in Python/Golang/Node.js to write automation
* Experience with AWS including strong expertise in managing EMR
* Understanding/experience of CI/CD, and various other DevOps tools
* Experience working on Cloud Infrastructure and SaaS Products

# Additional Information

The Linux Foundation is a largely all-remote workforce that hires top-notch talent.  We are as passionate of providing a flexible and supportive work culture as we are in Open Source Software.  Collaboration is in our DNA, and we pride ourselves on being able to work closely together while not being tied to an office.  We offer exceptional benefits - e.g., Fantastic health care, Unlimited PTO, 100% 401k match, profit-sharing, and exceptional healthcare plans.

TensorFlow

We’re growing our team at Artifact so we can entrench our product market fit, build scalable and delightful products, and get them into the hands of the right qualified customers. Artifact helps teams centralize qualitative data into a single source of truth, and uses advanced but proven AI methods to synthesize actionable insights so they can instantly understand what’s most important to their customers.

Artifact is looking for data scientists and NLP researchers at various skill levels to join our growing team.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

# Key ML focus areas:

* Natural language processing
* Natural language understanding
* Knowledge Graphs and Graph Neural Networks

# What you’ll do at Artifact:

* By using massive amounts of historical and realtime qualitative data, you will help research, develop and automate models for semantic understanding, text similarities, clustering, sentiment and emotion, and expressive summarization.
* One example: Build / Enhance our end-to-end solution that analyzes historical customer conversations and answers user questions as a summarized insight. Beyond answering, allow the user to facet and pivot the data while updating the summary insight dynamically.
* Work with product management and design roles to understand and empathize with end customer needs.
* Build end-to-end ML solutions spanning from data access (SQL) to model endpoint (API / batch service) and deploy to cloud based staging environments (Kubernetes on GCP) by collaborating with software engineers.
* Collaborate with our academic partners and research new ML techniques / enhancements and publish blogs or journal / conference papers.
* Open source code or software that will benefit the larger community of ML practitioners.

# We'd love to hear from you if you:

* Have solid fundamentals in approaching and solving ML / DS problems. Think: "data source", "data lineage", "data transformation", "data age and relevance", "model consumption", "post consumption action" etc.
* Lean toward action and experimentation with a priority towards rapid prototyping.
* Approach problems from a first principles mindset and question assumptions.
* Have dived deep and spent a good amount of time solving "one" ML problem.
* Are naturally curious and willing to take a step to learn something they don’t have experience in.
* Have experience with SQL, Python, NLTK or Spacy or other NLP libraries, PyTorch or JAX or TensorFlow. DGL and data visualization experience is a plus.

# Experience Bonus:

* Masters Degree or PhD in Computational Linguistics, Engineering, Statistics or related field
* Previous experience/education in syntax, semantics and morphology
* Experience with semantic understanding and summarization of short phrases across a heterogenous corpus.
* Experience collaborating with software development teams, data scientists, business intelligence or other technical roles

# Artifact Memes (How we behave at work...)

* Transparently documented communication: we leave documented breadcrumbs in every decision we make so that those we collaborate with in the future have the necessary context, and can adequately support us in future decision making.
* Tiny, frequent, and constantly kept agreements: every single day, we break down initiatives into tiny agreements we make with our team that we are 100% certain we can keep.
* Strategy before story telling: before we build narratives for our vision and initiatives we prioritize the process of establishing what we’ll do next, why that is the correct thing to do next, and identify risks and trade-offs.
* Focus on good decision making and long-term results: we believe strongly that you ****are not the results of a single decision, nor do the results of a single decision deride your ability to make sound decisions. We are long, bullish, and team You— and focus on the results of consecutive intentional decisions.
* Systems thinking: we have seen most objective-result organizational behaviors result in fleeting meaningless goals. Rather than a goals-based mindset, we ask you to develop an outcomes-based and diagnostics-based mindset.
* Establish clear lines of responsibility: Document what you're trying to accomplish, why you're trying to accomplish it, and who will be responsible for specific initiatives.
* Practice proactive accountability: we ask you to practice introspection and proactively assume accountability for your decisions.
* Remove your ego: when your ego is involved you become so internally absorbed that it's difficult to level-up and see what's happening and how you're behaving. Check it at the door.
* Work cross functionally: We don’t tolerate, support, or allow employees, teams, or departments to prioritize job descriptions over the success of the business. We are building a business. We are not here to build a pipeline, close opportunities, design products, or write code or algorithms. We are building a business. Work together to accomplish this outcome.
* Identify risks and assumptions: be honest and self aware with yourself and your team about what you don’t know. Assess your risks. Identify what you need to learn. Then dive in and do your best work.