Dealer Inspire (DI) is a leading disruptor in the automotive industry through our innovative culture, legendary service, and kick-ass website, technology, and marketing solutions. Our mission is to future-proof local dealerships by building the essential, mobile-first platform that makes automotive retail faster, easier, and smarter for both shoppers and dealers. Headquartered in Naperville, IL, our team of nearly 600 work friends are spread across the United States and Canada, pushing the boundaries and getting it done every day, together.

DI offers an inclusive environment that celebrates collaboration and thinking differently to solve the challenges our clients face. Our shared success continues to lead to rapid growth and positive change, which opens up opportunities to advance your career to the next level by working with passionate, creative people across skill sets. If you want to be challenged, learn every day, and work as a team with some of the best in the industry, we want to meet you. Apply today!

Dealer Inspire is a CARS brand. CARS includes the following brands: Cars.com, Dealer Inspire, DealerRater, FUEL, CreditIQ and Accu-Trade.

Cars.com is one of Chicago’s original tech companies. Our online platform makes it easier for consumers to shop for, sell and service their cars. With our expert content, mobile app features, millions of new and used vehicle listings, a comprehensive set of research tools and the largest database of consumer reviews in the industry, Cars.com offers innovative products to connect consumers with dealers across the country.

Data is the driver for our future at Cars. We’re searching for a collaborative, analytical, and innovative engineer to build scalable and highly performant platforms, systems and tools to enable innovations with data. If you are passionate about building large scale systems and data driven products, we want to hear from you.

# Responsibilities Include:

* Build data pipelines and deriving insights out of the data using advanced analytic techniques, streaming and machine learning at scale
* Work within a dynamic, forward thinking team environment where you will design, develop, and maintain mission-critical, highly visible Big Data and Machine Learning applications
* Build, deploy and support data pipelines and ML models into production.
* Work in close partnership with other Engineering teams, including Data Science, & cross-functional teams, such as Product Management & Product Design
* Opportunity to mentor others on the team and share your knowledge across the Cars.com organization

# Required Skills

* Ability to develop Spark jobs to cleanse/enrich/process large amounts of data.
* Experience with tuning Spark jobs for efficient performance including execution time of a job, execution memory, etc.
* Experience with dimensional data modeling concepts.
* Sound understanding of various file formats and compression techniques.
* Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.
* Ability to understand deeply the entire architecture for a major part of the business and be able to articulate the scaling and reliability limits of that area; design, develop and debug at an enterprise level and design and estimate at a cross-project level.
* Ability to mentor developers and lead projects of medium to high complexity.
* Excellent communication and collaboration skills. 

# Required Experience

* Software Engineering: 3 - 5 years of designing & developing complex, batch processes at enterprise scale; specifically utilizing Python and/or Scala. 
* Big Data Ecosystem: 2+ years of hands-on, professional experience with tools and platforms like PySpark, Airflow, and Redshift.
* AWS Cloud: 2+ years of professional experience in developing Big Data applications in the cloud, specifically AWS.

# Preferred:

* Experience working with Clickstream Data
* Experience working with digital marketing data
* Experience with developing REST APIs.
* Experience in deploying ML models into production and integrating them into production applications for use.
* Experience with machine learning / deep learning using R, Python, Jupyter, Zeppelin, TensorFlow, etc.

Analytics

Spark

Big Data

Data Engineer

# Responsibilities

* Evaluate and analyze statistics and trends;
* Extract data from CIMS or other databases supported by OMI to produce reports;
* Uses various query software tools to produce finished reports, statistics, and/or graphic information reflective of the subject matter;
* Analyze and evaluate data extracted for the purposes of quality assurance, quality control, and data integrity;
* Prepare procedures manuals, user guides, and technical documentation, to include but not limited to, report development documentation;
* Prepare written analyses and recommendations for the COR;
* Adhere to established procedures in the registration of reports in Business Objects Enterprise for testing and production;
* Post PDF versions of selected reports to the OMI Intranet and becoming familiar with the structure and operation of the website;
* Develop new reporting tools, views, and interfaces;       
* Train users in new applications, reporting tools or system features;
* Maintain daily work reports; and
* Manage frequent contact with the COR and other Civil Division personnel.

# Qualifications

* An undergraduate degree, preferably in computer science or management information or equivalent experience, i.e., 4 years of progressively more responsible experience in a professional analytical occupation working with relational databases for the purposes of data extraction;
* Proficient in extracting data from relational databases using various query software tools, graphic displays for data presentation, database tools, and spreadsheet software;
* proficient and experienced using SQL, T-SQL, Crystal Reports 2016, and Microsoft Access;
* Experience using HTML, ASP, and Visual Basic;
* Able to produce finished reports containing analyses, graphics, and recommendations;
* Experience using computers, including email, Word and Excel; 
* Excellent data analysis skills;                
* Able to work independently;
* Excellent written and effective oral communication skills; and
* Experience in a legal environment.

Excel

Data Analyst

At Netlify, our Data & Insights team is a core part of the go-to-market strategy. We have a passion for data, are strategic partners to the business that define critical analytical problems, and drive data-driven recommendations using narratives and visualizations.  We’re remote-first and are distributed across North America.  Joining our team is a unique opportunity to work with some of the smartest, most motivated, and kindest people in the industry.  We are looking for doers and builders, people who like to roll up their sleeves and get things done.

# What You’ll Do:

As a Senior Data Analyst, you are a member of a team of data-driven influencers, setting the standard for how data and analytics are used at Netlify, and inspiring our product and marketing teams to action.  If you’re excited about researching customer behavior and market trends, analyzing product data, and working side-by-side with Marketing and Product Management leadership to inform and build better solutions that will delight our customers, this is a role for you!

* Work closely with leaders across product and marketing to support and implement high-quality, data-driven decisions.
* Partner with stakeholders to understand their business needs; become an expert in translating these needs into specific analyses with actionable insights
* Advocate for improvements to data tracking, quality, and performance
* Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible. In your analysis, you’ll use multiple data sources to discover what is going well for our customers, where we can improve, and what to build next.
* Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve our customers’ experience
* Inform the product strategy via outcomes of tests and experiments
* Operate with a high degree of autonomy and will benefit from the support of the Data & Insights Team — sharing ideas and debating approaches.  You will also mentor, coach, and lead other data analysts by providing feedback that helps them deliver more effective analyses and develop their careers.
* Define (or redefine) leading indicators of success for Product and Marketing. Serve as the expert for these metrics by understanding how data collection is instrumented in the product and marketing systems, how it flows through our ETL pipeline and is aggregated, and how metrics are defined in our analytics projects.
* Construct the core dashboards, visualizations, and analyses to help stakeholders monitor business health and make better decisions
* Perform ad hoc analyses into user behavior to inform specific, near-term experiment designs or product decisions, or long-term product strategy
* Partner with Data Infrastructure and Platform team,  engineering, and other internal operations teams to enable a high level of data integrity, consistency, and clarity across cross multiple internal databases and reporting systems

# What You'll Bring: 

* 5+ years of relevant experience with a heavy quantitative, analytical focus
* A history of supporting Product led Growth and Marketing stakeholders and influencing their decision-making with data
* Demonstrated ability to work with large datasets; particularly data mining, manipulation, and exploration
* Proficiency in writing performant, complex SQL queries combining multiple sources of data
* Some high-level exposure to analytical development tools such as Amplitude, Data Visualization tools, Git, dbt, and Snowflake as well as data analytics or statistical tools such as R or Python
* Confidence using a variety of analytical and statistical techniques
* An appetite for learning and passion for the role of data in helping solve complex questions
* Excellent communication, storytelling, and collaboration skills
* Experience working at, or a strong understanding of saas startups is helpful
* We welcome remote candidates based in North American timezones

Senior Data Analyst

Medalogix is a one-of-a-kind data analytics company in the post-acute care space. We are transforming home health and hospice agencies by leveraging cutting edge data science, machine learning, and innovative cloud technology to equip clinicians and agencies to provide the right care at the right time.

Medalogix is dedicated to empowering individualized patient care with innovative, data science-driven solutions that transform healthcare. The Company's machine learning products have demonstrated improved patient outcomes and reduced cost to the healthcare system, including reduced hospitalization, appropriate and timely transitions to end-of-life care, and optimized visit utilization for patients. Medalogix is poised for tremendous growth, as skilled home health and hospice care are positioned as the lowest cost providers in an industry shifting to value-based care.

Medalogix is currently seeking hungry, humble, and smart Data Analyst to join our technology innovators that are bringing home health and hospice to the next level.

# Why Medalogix?

* Passionate Culture – Our success originates from our dedicated and incredibly talented team that operates with shared set of core values: Be Badass, Dream Big/Act Small, Do No Harm, and Row Together. In 2022, we earned the Great Place to Work Certification.
* High Growth – Medalogix has grown 100%+ for three straight years, with continued material growth planned over the next three years.
* Meaningful Work – Our products are used by healthcare providers in their day-to-day care programs. Our company’s work directly impacts patient care in the home.
* Leading Technologies – At the core Medalogix is a technology company. We build modern, cloud-based SaaS software underpinned by data science and data engineering. Our technology team is passionate about using leading tools and practices in our daily work. Our market leading products are designed to equip home health and hospice agencies with technology to provide the right care at the right time. Medalogix products have received recognition from The Boston Globe, Fierce Healthcare, Becker's Hospital Review, HIMSS, and Harvard Business Review
* Competitive Compensation & Benefits – Medalogix provides big company benefits in a smaller company environment. We provide competitive compensation along with awesome benefits including 401(k) matching.

# Role Overview:

The Data Analyst role is responsible for analyzing data using statistical techniques, implementing and maintaining databases, gathering data from primary and secondary sources, identifying, analyzing and interpreting trends from the data. The job involves the process of cleaning, analyzing, interpreting, and displaying data using different approaches and business intelligence tools in uncovering key insights that lead to better informed and successful decision-making.

# Duties & Responsibilities:

* Identify, analyze, and interpret trends or patterns in complex data sets
* Provide data insights that help drive clinical process improvement (such as reducing readmissions and hospital-acquired conditions, improving the quality of care) and lower the cost of care
* Analyze, identify and source EMR data for developing or enhancing new or existing applications
* Engage in discovery phase with new EMRs in defining data requirements and business rules for successful integration with existing solutions
* Working with programmers, engineers, and management leads to identify process improvement opportunities, propose system modifications, and devise data governance strategies
* Working with management to prioritize business and information needs
* Performing analysis to assess quality and meaning of data
* Preparing reports for the management stating trends, patterns, and predictions using relevant data
* Filter Data by reviewing reports and performance indicators to identify and correct code problems

# Experience & Qualifications:

* Bachelor’s degree in Computer Science, Computer Engineering or related field
* Adept at querying, writing reports, and making presentations using modern data processing, storage and analytic technologies like Snowflake & SQL Azure
* Strong mathematical skills to help collect, measure, organize and analyze data
* Knowledge of tools for data analysis such as SQL, Tableau, Power BI, R, Python, Excel with understanding of ETL frameworks
* Experience in working with Electronic Health Records (EHR), Billing, Claims and/or Revenue Cycle Management (RCM) processes in a healthcare system
* Experience in interpreting data from a variety of sources (e.g., EMR systems, Population Health Data sets, healthcare Payor/Provider data sets) to develop data models for analysis
* Strong analytical and problem-solving skills
* Verbal and Written communication skills
* Knowledge of healthcare domain is a plus
* Certifications in BI/Data is a plus

# Benefits

* Highly sponsored healthcare plans to choose from (PPO, HSA, and FSA)
* Optional Dental and Vision insurance
* 401(k) with company match; immediately vested
* Education Assistance Program/Employee Assistance Program
* Generous maternity / paternity leave
* We celebrate our wins with team events/outings
* Generous Paid Time Off + 8 Paid Holidays
* Free downtown parking

Python

Snowflake

Tableau

Azure

Viable Data is an innovative technology, data and UX consultancy, delivering excellence through our projects and providing our people with a supportive culture and opportunities for growth and continuous learning.

We thrive on the challenge of working across different projects, user needs and technologies and our teams and people live this every day. Our people-first approach and culture is central to our growing success as a consultancy.

We are an all-inclusive equal opportunities employer and proudly celebrate diversity. If you thrive on challenge, have a passion to learn and make a difference, and enjoy being part of a growing multidisciplinary team, look no further and start your Viable career, now.

# About the role

As a Data Engineer at Viable Data, you will be at the forefront to ensure that data is in the right state and format, ready to implement data schemas and models, making sure that the data is ready and available for data mining purposes.

You will be someone who can adapt quickly and easily to the flexible needs of our Central Government customers. You will join one of our high-performing consulting teams where you will play a pivotal role in designing & delivering exceptional digital products and services that directly contribute to the delivery of UK policy, economic growth and security.

This role is largely remote with occasional business essential travel.

# Key responsibilities

* Experience of pragmatic, hands-on analysis of enterprise-scale data projects across the full SDLC from design to migration, integration and live service in an Agile environment • Experience of analysis and design of solutions using one or more from: SQL and noSQL technologies, data streaming, logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies
* A thorough understanding of one or more from: Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration
* Ability to apply advanced analytics and statistics techniques to business problems
* Proven experience of working with large volumes of data, applying tools such as SAS, R, Python, SQL, PowerBI, Tableau, Looker
* Excellent communication skills and ability to tell stories / influence with data

# Skills and experience needed

* Proven relevant industry experience.
* Excellent written and verbal communication abilities - presenting findings and related design/business recommendations and insights clearly that stakeholders can understand and use. Able to communicate with stakeholders at all levels.
* Proven analysis skills - experience of various data analysis methods at enterprise scale
* People skills – empathetic, great listener and have a natural curiosity to understand people, their motivations and thought processes.
* Experience and understanding of a range of User Centred Design practices
* Organisation, time management and collaboration skills

# Why work with us?

As well as providing a great place to work that has an amazing culture and the opportunity to work on excellent projects where you will really make a difference, we have a whole host of additional employee benefits.

# Our benefits package includes:

* 25 days leave
* 5 days dedicated training allowance, with individual budget
* Mentoring system, with 6-month review cycles
* Flexible hours and supportive of remote working
* 5% pension company contributions
* Annual bonus based on company performance
* Choice of company laptop (Macbook, Windows)

api.video is an API-first platform that enables developers to build, scale and operate on-demand and live video streaming in their own apps and platforms in minutes, with just a few lines of code. The service handles the end-to-end workflow, from video ingestion to worldwide video delivery.Just like Stripe for payments, Twilio for text/VOIP, and Sendgrid for email; we're making video accessible to every client and developer via our api, the world over.

You will join our brand new Data team. As the very first Data Analyst, you will be the main point of contact to support the Product, Finance, Customer Success and Engineering teams in their needs of Insights, Monitoring and more at strategic and operational level. Below some examples:

* Correlate cohorts and usages to determine behaviour patterns
* Monitor performances of funnels like SignUps → Subscriptions
* Write tracking-plans at the foundation of upcoming analyses (e.g. app-events for User Journey)

# What will you be doing?

* Proactively initiating processes to collect Business and Product needs in order to translate them into operational tasks.
* Helping identify KPIs/local metrics and make sure we are able to track, monitor them and measure impact of any project we drive.
* Building long-term analytical assets (dashboards and reportings) to help teams take data driven decisions.
* Providing appropriate and clear recommendations based on qualitative analysis outcomes.
* Defining Data Modeling guidelines to guarantee a consistent, smooth and performent query experience.

# What can you expect at api.video?

* Global presence with an international working environment.
* 100% Remote possible (we have an HQ in Bordeaux, and we rely on many coworking spaces, CET timezones).
* We offer competitive salaries.
* Flexible timetable - we value results over presence.
* Work in your preferred System and OS (Mac, Linux, Microsoft).
* Your voice is valued and will count in our decision making.
* Personal Growth. We invest in your career development; do you need books or to attend conferences? We got you covered!

# What are we looking for?

* 4/5+ years of experience in Data analysis. Proficiency in SQL.
* Significant experience with Looker (or similar) for explorations.
* Creative team player, autonomous, eager to learn every day and continually suggesting innovative ideas.
* Ease to switch from projects of different natures (business, product or technical).
* Excellent verbal and written communication in English.

# Nice to have :

* Snowflake knowledge is a plus.
* Observability through Kibana and/or Grafana.
* CRM tools.

CodeSignal is seeking a Senior Data Analyst to help inform strategy and empower everyone at CodeSignal to make data-driven decisions with analysis insights, self-serve reporting, and high-quality data built on robust, scaleable data infrastructure! In this role, you will have the opportunity to collaborate with business teams like Customer Success, Sales, Marketing, and Go To Market to solve business problems. We'd love to see you apply if you enjoy learning new tools, have a passion for full-stack analytics, and enjoy a hybrid role where you get to be both Analytics Engineer and Data Analyst. If you are analytical, data-driven, excited to be a mentor or leader, and eager to take your career to the next level, this could be an excellent opportunity to grow your technical skills.

# The Company

CodeSignal is the leading technical interview and assessment solution, helping companies identify the right candidates with the right skills—even if they don’t have the “right” profile. Hiring and selection teams use CodeSignal to increase speed-to-hire and candidate pipeline yield, and tap into underrepresented pools of candidates. Founded in 2014, CodeSignal is trusted by leading companies like Netflix, Capital One, Robinhood, and Dropbox.

# What makes a Signalite?

Signalites are the incredible people who make up CodeSignal’s global team. We believe every Signalite should be given the context to understand decisions, the freedom to act independently, and the responsibility to do what’s right. These principles build upon each other to drive motivation, speed, innovation, and a results-oriented, high-performing culture. We believe that culture is not just about principles, but also behaviors. This belief can be seen and felt in everything we do as Signalites.

# Day-to-Day

* Enhance data access through standardized data models, metrics, documentation,  and self-service automated reports
* Collaborate with data engineering to build new data sets and data pipelines
* Partner with business units to define key metrics and build and/or automate reporting to monitor and analyze performance 
* Conduct statistical analyses to answer strategic business questions
* Perform advanced exploratory analyses on large sets of data to extract insights that will guide our customer success strategies

# Qualifications 

* At least 4 years experience as a data analyst
* Intermediate to advanced proficiency in SQL and experience with cloud data warehouse such as Snowflake, Redshift, or Bigquery
* Beginning to intermediate experience with a BI Tool (e.g., Mode, Looker, Tableau)
* Experience deriving insights from complicated data with statistically rigorous analysis techniques
* Strong communication and collaboration skills, excited to partner with both engineering and business teams
* Excellent business acumen and ability to understand various departments’ role and their business needs
* Ability to synthesize complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
* Demonstrated aptitude with data quality improvements and experience creating data models, ideally with dbt
* Ability and willingness to learn new technical tools and to contribute to analytics engineering, ability to utilize technical documentation

# Nice-to-Have

* Experience with dbt is strongly desired
* Experience with ETL
* Proficiency in at least one scripting or statistical language (e.g., Python, R)
* Experience with experimental design & causal inference

# Why You’ll Love It Here

* Competitive salaries based on local market and 401(k) match
* Medical, dental, and vision insurance
* Team activities and get-togethers to connect with your fellow Signalites
* Unlimited PTO and remote-first work policy
* Continuous learning with educational reimbursements provided
* Equipment provision and generous home office setup stipend
* A challenging and fulfilling opportunity to join a fast-growing SaaS company

We know that great work comes from great, and inclusive teams. At CodeSignal, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our customers and helps us all grow as Signalites and individuals. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. CodeSignal is proud to be an Equal Opportunity Employer.

# Salary Projection 

In accordance with local regulations in jurisdictions where CodeSignal may hire, we are projecting an annual base salary in the range of $115,000-$250,000. This range is based on San Francisco benchmarks and encompasses all seniority levels eligible for this position. Offer packages often contain additional compensation in the form of commission bonuses, equity, and/or benefits. Offers are awarded on an individual basis and are subject to factors such as, without limitation, a candidate’s level of experience, growth trajectory, and local labor market. Employees' compensation is reviewed and adjusted regularly.

BigQuery

The Aeyon Data and Analytics Center of Excellence delivers data analysis expertise and solutions that exceed expectations for Aeyon and its clients. We are expanding our team and are looking for a senior-level data scientist.

We are looking for a well-rounded data scientist with expertise in a variety of different types of analyses (e.g., statistics, classification, regression, clustering, NLP, AI/ML, data visualization, etc.) using a variety of tools (e.g., Python, Spark, SQL, Tableau, PowerBI, etc.) against different domains. The keys to success in this role include a willingness to learn, a can-do attitude, and an aptitude for solving hard problems.

As a member of our team, you will:

* Participate and promote companywide data and technology initiatives to raise awareness and increase data acumen, especially regarding tools, methods, and best practices.
* Support marketing and business development efforts.
* Lead and/or contribute to data science projects utilizing a variety of data science skills and methods. The projects may be performed to improve internal business operations or be in support of contractual deliverables. Contributions may include:
* Provide subject matter expertise across the organization and to clients.
* Provide data and analytics guidance regarding data handling, analysis, and visualization
* Develop prototypes and proofs-of-concept to demonstrate approaches.
* Maintain up-to-date knowledge of data science approaches, technologies, etc.

CLEARANCE REQUIREMENTS: Secret or TS/SCI eligible

# EDUCATION REQUIREMENTS:

* Mandatory: Bachelor’s Degree from an accredited college.
* Waivable/Substitutable: Four years of work/military experience working in the analysis field.
* CERTIFICATION REQUIREMENTS: None

# EXPERIENCE REQUIREMENTS:

* 10+ years of Hands-on experience performing data analyses using common data science tools and methods.
* Experience leading data science projects
* Experience with data modeling
* Experience visualizing analytic results and presenting findings.
* Ability to adapt analytic processes to different/new analyses
* Ability to program in Python
* Experience with common Python Data Science libraries (Pandas, SKLearn, NumPy, Scipy, Pyspark, etc.)
* Ability to learn new skills

# Nice to have:

* Experience working with the U.S. Department of Defense and the U.S. government on areas concerning national security, business operations, strategy, and government efficacy.
* Familiarity with data engineering
* Experience with big data tools and cloud platforms.

Senior Data Scientist

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.

"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. 

The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like understanding our user segments, how to personalize Reddit’s communication to our users, and present the most relevant content to users. 

As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation.

# How You’ll Have Impact:

Today, Growth touches a large swatch of features at Reddit. As a key member of the team that owns notifications (email and mobile), you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth.

# What You’ll Learn:

* You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the notification strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation and user funnels that will impact the entire company. 
* In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

# What You’ll Do:

* Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers)
* Conduct exploratory analyses to size new opportunities for how Reddit communicates w/ users or deepen their engagement with Reddit communities
* Partner with Engineering and Product to define and execute Growth’s roadmap and initiatives
* Design and evaluate A/B tests and product feature experiments to influence product strategy
* Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
* Present findings to senior leadership and inform product decisions

# Who You Might Be: 

* 6+ years of experience in data analytics or related quantitative role
* Demonstrated ability to influence and guide product strategy with data
* Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
* Strong ability to communicate and discuss complex topics with technical & non-technical audiences
* Familiarity with causal inference techniques and causal models
* Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
* Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)

Statistics

North America

Senior Data Scientist (Growth)

Would you like to be part of a growing national healthcare solutions company? Are you looking to positively affect thousands of lives each day via health benefits? Do you have experience in data analyst and healthcare?

We are hiring for a Data Analyst to join our team.

# Who we are

Allied is a national healthcare solutions company that supports healthy workplace cultures.

# What we do

We are problem-solvers, innovators, and collaborators. Our purpose is to work with employers to take care of their employees and their families every day – and it all starts with the Allied family. 

# What’s in it for you?

Allied supports an inclusive culture focused on developing employees to succeed, innovate & impact the community.

# Here’s how we do it

* Training and Development: Allied offers tailored learning and development curriculums for all employees and a Learning Management Database with thousands of courses for professional and personal development.
* Career Mobility: Growth opportunities are endless at Allied. In 2021 alone, one in five employees had a job change. 75% of these job changes were promotions!
* Employee Engagement: We pride ourselves on employee engagement! With our recognition program, employees recognize their colleagues monthly or donate to charities with cash rewards. Allied has a dedicated committee planning monthly engagement activities to create endless opportunities to get to know your peers and destress in this new remote world.
* Employee Feedback: We regularly survey our employees throughout the year to seek continuous feedback, ideas and suggestions on new initiatives.
* Community Outreach: We have dedicated committees focused on fundraising efforts supporting our employees and their families, furthering education goals and providing funds for charitable organizations outside of Allied.

# What will you be doing?

The Data Analyst is a goal oriented, team player possessing a combination of technical and data skills used to help build and maintain a variety of reports and other analytical tools. The ideal candidate is skilled in various aspects of data analytics, such as programming, mining, generation, and visualization. As a technical lead, the data analyst will be responsible for resolving issues and ensuring success of projects assigned to their team.

# ESSENTIAL FUNCTIONS

* Develop an understanding of the health insurance world in different areas of the business such as claims, eligibility, customer service, and stop loss.
* Perform analyses of varied healthcare data to evaluate programs and product solutions using medical, dental, flex, pharmacy, lab, provider, and utilization data.
* Maintain high standards of data quality and integrity.
* Work closely with stakeholders to create dashboards and reports.
* Design and code efficiently using SQL and other data reporting languages.
* Help create and test SQL statements for data presentation and further automation.
* Set up and monitoring routine maintenance SQL jobs and developing / maintaining an alert strategy(s) for failed jobs and database problems and/or failures.
* Data modeling, including an understanding of all normalized forms, design and development of stored procedures, views and triggers.
* Manage daily / monthly data and reporting processes automated through SQL Server agent
* Create reports using a variety of tools and formats such as Excel, Power BI, PDFs, etc.
* Document methods, specifications, and findings clearly; contribute to the writing and the presentation of results, findings, and conclusions.
* Excellent attention to detail, ability to detect and correct problems within SQL script
* Meet Allied’s expectations for productivity, quality, and goal accomplishment.
* Work closely with manager to complete assigned tasks
* Adhere to, and apply all applicable privacy and security laws, including but not limited to HIPAA, HITECH and any regulations promulgated thereto.
* Perform other duties and responsibilities, as assigned.
* Attend continuing education classes as required, including but not limited to HIPAA training.
* 3-4 years of data analyst experience. Health care experience preferred.
* 2+ years’ experience with MS SQL Server.
* Experience with SQL Server Development – creating and modifying stored procedures.
* Ability to use reporting and business intelligence tools like Microsoft SQL Server Reporting Services (SSRS) or Power BI.
* Ability to collaborate well with team members.
* Experience in working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.
* Proficient computer skills, including Microsoft Office Suite (Word, Excel, Access and Power Point).
* Demonstrated analytical and problem-solving skills.
* Strong written, verbal communication and analytical skills required.
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services
* Bachelor’s degree required with a focus in Computer Science, Math, Statistics desirable.

# EXPERIENCE, SKILLS & ABILITIES

* 3-4 years of data analyst experience. Health care experience preferred.
* 2+ years’ experience with MS SQL Server.
* Experience with SQL Server Development – creating and modifying stored procedures.
* Ability to use reporting and business intelligence tools like Microsoft SQL Server Reporting Services (SSRS) or Power BI.
* Ability to collaborate well with team members.
* Experience in working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.
* Proficient computer skills, including Microsoft Office Suite (Word, Excel, Access and Power Point).
* Demonstrated analytical and problem-solving skills.
* Strong written, verbal communication and analytical skills required.
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services

Preferred
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services

# Education

Bachelor’s degree required with a focus in Computer Science, Math, Statistics desirable.

MS SQL

IT Data Analyst

We are Dext. Our suite of tools makes accountants more productive, profitable and powerful. In doing so we give them back the most precious commodity, time, which they can then use to add greater value to their clients.

Accountants and bookkeepers are the backbone of every successful business. For more than a decade we’ve empowered our partners with innovative technology solutions to make businesses better. Dext allows them to meet the challenges they face today, tomorrow and in the future.

We are now seeking an experienced Product Manager to help with our continuous efforts to improve the level of automation we bring to our extraction processes.

# The role (what you’ll do):

* Manage the data extraction lifecycle, you will be responsible for determining what 'success' looks like taking into consideration a number of macro and micro factors
* Research new ways to improve our automation processes; working closely with our machine learning lead and lead data scientist on requirements, data capture, sampling..ultimately using the tools at your disposable to spot actionable insights
* Channel the voice of the customer to ensure data outputs are in line with user goals
* Evaluate and implement new product ideas
* Work closely with the wider product team and stakeholders to align on product releases and team roadmaps
* Ensure that stakeholder needs are considered and evaluated during the development stages

# About you (what we are looking for):

* Equally comfortable using reporting tools such as Looker, Snowflake, SQL as well as building simple data science models in a notebook.
* Successful candidates in the past have come from a data science background or product analysts who have applied data science techniques.
* Ideally previous Product Management experience in a fast-paced technology business. Some experience of advising/making product led decisions is needed.
* Ideally, previous experience in a SaaS, rapid growth environment
* Capable of making data driven decisions
* Stakeholder management
* Managing and prioritising a backlog

These are our ideal requirements, but we hire on potential, not just on experience, and we know that some people are less likely to apply for a role if they don’t meet 100% of the criteria. At Dext we are committed to cultivating a diverse, inclusive and empowering culture, so please apply if you meet the majority of these competencies.

# What you will be a part of:

We are a highly ambitious, innovative, market-leading FinTech. We are a global, well-funded business but have the dexterity and pace of a scale-up. We are uncompromising in our desire to achieve our best, day-in day-out, and we have three clear values which guide everything we do:

* Be Brave - Everyone in the company has a voice to challenge ideas and the status quo.
* Be Exceptional - We set high standards for ourselves. We aim to be exceptional at what we do.
* Be Together - We are one team. There is no such thing as individual success without team success.

Management

Data Science Product Manager

Ever since the global privacy landscape changed in the last few years, having first-party data has become a requirement for e-commerce businesses. Northbeam steps in to provide our clients with the solution for their data needs, and it pays off. As a result, we’ve been seeing some unprecedented growth. We need your help in order to build the product that’s going to power the great ecommerce brands of the future and today.

We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.

# You can expect to work on the following:

* Media mix modeling: understanding the relationship between our clients' marketing inputs and marketing outputs (sales, revenue), as well as quantifying the inherent uncertainty involved
* Communicating the model and its implications to non-technical stakeholders
* Working with our data engineering and product teams to productize the above for our growing customer bas

# Requirements

* Expertise with Python
* Strong skills in statistics, probability, and/or machine learning
* Experience with differentiable programming or probabilistic programming (e.g. Tensorflow, Pytorch, JAX, Pyro, PyMC)
* Ability to clearly communicate results to non-technical audiences, in English
* Experience (or enthusiasm) with working in a small, fast-paced company

# Good to Have:

* MS or PhD with research focus on quantitative or statistical methods
* Experience working with marketing data

# Values:

* Growth mindset - we’re always learning and growing
* Customer focus - we want to make the customer happy with our product
* Ownership mentality - we think like owners in the business
* Radical candor - we’re transparent and give direct feedback to one another
* Empathic disposition - we’re kind to one another and help each other grow

# Benefits

* Significant equity package
* Generous base salary
* Healthcare Benefits (medical, dental, vision)
* Travel to meet with the team

TensorFlow

Data Scientist

# Skills

Data Analytics, Machine Learning, AI, Python

# Role

As a developer you will:
* Write python to parse and deal with large datasets
* Choose appropriate algorithms for ML based processing of monitoring and observability data
* Produce trends and visualizations for better observability of platforms
* Contribute to ML based alerting and predictive alerting for the platform

I realize this is somewhat vague, but I would include the likes of understanding Spark, Pandas, SQL, Hadoop/Hive in the mix as well for technical skills.

Machine learning

Algorithms

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

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.

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 

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.

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

At Health IQ, our vision is to ensure that the 1.5B seniors live their golden years better than the previous generations. We believe in rewarding the health conscious through savings, literacy, and educational tools.

We are a diverse and innovative group of individuals who thrive on big data and proven results. Our approach has enabled us to grow from roughly 200 to 900+ employees over the last year and we expect continued growth and opportunities. If you believe that being health conscious can improve lives and want to make a tangible difference through your work, then you’ll love what we’re doing at Health IQ – apply and join the team!

At Health IQ, our vision is to ensure that the 1.5B seniors live their golden years better than the previous generations. We believe in rewarding the health conscious through savings, literacy, and educational tools.

We are a diverse and innovative group of individuals who thrive on big data and proven results. Our approach has enabled us to grow from roughly 200 to 900+ employees over the last year and we expect continued growth and opportunities. If you believe that being health conscious can improve lives and want to make a tangible difference through your work, then you’ll love what we’re doing at Health IQ – apply and join the team!

# Data Scientist

Health IQ has set upon itself to completely change the way seniors choose their healthcare plans by using AI/ data science, and world class user experience to bring transparency, objectivity, and intelligence to the insurance purchasing process. We need a Data Scientist to help this initiative end to end and establish Health IQ as a leader in the digital insurance market.

At Health IQ, Data Scientist uses predictive analytics and innovative machine learning models to create value from data. This role is at the heart of finding and proving innovative solutions and is responsible for developing and driving strategic modeling initiatives while maintaining a close partnership with IT to ensure that our models can be deployed quickly and monitored in a flexible deployment framework.

As a Data Scientist, you will serve as a technical and thought leader on this diverse and highly skilled team. You will design and develop inventive solutions to drive innovation and the delivery of organizational value. You’ll synthesize large datasets and solve complex problems by using advanced machine learning and statistical modeling. You’ll work in a highly collaborative, team environment, guiding and mentoring junior data scientists and collaborating with multiple stakeholders. You will assist management in the communication of insights and the implementation of impactful data science solutions across the organization.

You will deliver actionable insights from your models that can be incorporated into existing Health IQ products and new programs. The ideal candidate for this role will have a passion for creating solutions, an attitude of creativity, and continual learning.

# What you will be doing:

* Build core analytical models that drive Health IQ digital insurance products.
* Bring core domain expertise about Medicare, health insurance and population insights.
* Communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive-level audiences while building relationships with their partners
* Collaborate with business leaders to understand business opportunities and formulate analytical solutions for problem-solving, working alongside other analytic individuals and team
* Design innovative algorithms and machine-learning approaches for handling some of the most challenging and exciting datasets in today’s insurance industry
* Provide thought leadership on the practical application of machine learning and advanced analytical methods and cultivate a data-driven culture across the company
* Deliver clean, reusable, and scalable code
* Work closely with Data & Engineering to deploy models
 
# What we’re looking for:

* Master’s Degree in computer science, Math, Statistics, Economics or in any technical field that provides a solid basis for analytics is required. Masters with relevant experience acceptable
* 2+ years of experience in data science, statistics, computer science, or mathematics where you designed, developed, evaluated, and deployed predictive modeling, machine learning, and advanced analytics
* End to end experience from data wrangling to model deployment delivering added value with varying levels of ambiguity
* Extensive experience solving analytical problems using quantitative and qualitative approaches especially related to Medicare, healthcare insurance plans, and/ or senior focused population insights.
* Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, dimensionality reduction, ensemble methods, graph algorithms
* Excellent communication skills and experience in working with stakeholders
* Strong prioritization skills while being dynamic and agile
* Ability to advise one or more areas, programs, or functions

To make the world a healthier place, we started in our backyard. We created a health-conscious environment that allows each of our employees to reach their personal health goals. Below are a few of the employee-led programs that make working at Health IQ truly unique.

Career Growth: As a rapidly growing company, new opportunities for growth and development continue to become available. We believe in promoting from within, and look to reward high performing employees with new opportunities. 

Celebration: We believe the key is to celebrate those who have improved their health rather than cajole those who haven’t. We look for employees who take this positive and optimistic view in their work lives.

Service to Seniors: Our whole mission and vision is to serve seniors to improve their health. We want employees who believe true happiness comes from being in service to others. We call these employees Health Heroes.

Personal Responsibility: We believe that only you can make the decision to improve your own health and no one else can do this for you. We look for employees that tend to do the same. 

Excellent benefits: Competitive rates for our employees' costs toward medical, dental and vision insurance. We offer a 401K, and pay 100% of your life insurance benefit option! We also offer various Flexible Spending Account (FSA) benefits to meet you and/or your families needs. Only full-time employees are eligible for benefits.

Join a Remote-first Culture: Our flexible, totally remote environment allows us to hire top talent throughout the U.S. The world has changed, and we’ve learned that being in an office is no longer the best way for our employees and our company to thrive.

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.

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.