# 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

Data Scientist

We are a series-A startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA, and our core team includes faculty entrepreneurs (Stanford and UC Santa Barbara) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber, led the development of state-of-the-art computer vision technologies that shipped over millions of Amazon devices, and delivered zero-to-one product experiences at Uber and Box. Our core product grew out of 5+ years of university R&D by our co-founders. We have built a disruptive Tagless Activity Tracking platform to revolutionize the world of industrial automation using Spatial Intelligence. You can find out more about us by visiting our website.

We are seeking a Senior Data Engineer with over 5 years of relevant experience to join our growing team. The ideal candidate will have a deep understanding of the design, development, and maintenance of ETL pipelines, will be confident working with time-series data, and will have some prior experience with business analyst or business intelligence functions.

# Core Responsibilities & Qualifications:

* ETL Pipeline Design and Development: Work closely with our Head of Product to create and maintain complex ETL data pipelines using SQL and PySpark, while ensuring data quality. Familiarity with Databricks is preferred.
* Time-Series Data Processing: Prior experience in normalizing, aggregating, aligning, correlating, and processing time-series data from sensors, machines, and processes.
* Production Data Product Experience: Demonstrated ability to work on the production of data products, including handling data quality issues, orchestration and automation, and testing.
* Software Development Practices: Show excellent software development practices.
* Coding Skills: Proficiency in Python, SQL, and Java or other backend languages. Familiarity with cloud platforms like AWS, GCP or Azure is a plus.
* Communication Requirements: Effective communication skills, both verbal and written, to clearly explain complex data concepts to non-technical team members and stakeholders.
* Team Collaboration: Proven experience working effectively in cross-functional teams, demonstrating a collaborative mindset.

# Preferred Qualifications:

* Deep Domain Engagement: A fervent willingness to understand Plato Systems' domain. Success in this role hinges on grasping the nuances and intricacies of our domain to offer relevant and impactful data solutions.
* Autonomy & attention to detail: Derived tables that feed dashboards and analytics are only useful if they contain clean high quality data. This requires good judgment to find the right balance of unit tests, integration tests, regression tests, and monitoring / alerting to ensure data flow and its quality.
* Data Visualization & Reporting: Ability to create and sustain automated reporting, dashboards, and consistent analysis to bolster data-driven decisions within and across teams.
* Business Insights Generation: Identify and articulate key business insights, utilizing statistical analysis.

Versatility of Prior Work: Experience working in different industries or domains, showing flexibility and ability to adapt to new types of data and/or business domains.

Senior Data Engineer

Norstella is a group of prominent pharmaceutical solutions providers – Evaluate, MMIT, Panalgo, The Dedham Group, Citeline – that help clients navigate complexities at each step of the drug development life cycle, from pipeline to patient. For more information, please visit Norstella.com.

Evaluate is a global company providing outstanding market intelligence services for the Pharmaceutical, Medical Device, Financial and Consulting sectors, through the Evaluate Pharma®, Evaluate Medtech®, Evaluate Omnium and Evaluate Vantage® online brands. Our international clients in Pharma and Biotech, Medtech, Banking and Consultancy regard Evaluate Pharma® as the industry’s gold standard for timely and accurate analysis of reported drug sales, consensus sales forecasts, R&D pipeline, markets and comprehensive company financials.

# THE TEAM

In this role as a Data Scientist you will report into the Lead Data Scientist for Strategic Intelligence and Market Access, within the Data Science Department. You will design and deploy cutting-edge models to support the creation of new products. We have small multi-functional teams consisting of pharmaceutical industry experts, R&D, data engineering and data scientists to rapidly prototype new visualisations and interactive reports using both our existing and newly acquired datasets.

# SCOPE OF THE ROLE

In this role as a Data Scientist you will:

* Apply your fundamental knowledge of machine learning, generative AI, and other DS techniques to identify opportunities and help shape product development
* Use Python and AWS SageMaker to create knowledge generation algorithms applied to pharmaceutical products
* Visualise and analyse the performance of your models with common python libraries
* Work with data engineers and DevOps to deploy your models into production environments
* Contribute to our growing in-house data science library of useful functions, data handlers, APIs and other modules

# HOW YOU’LL SUCCEED

Ultimately our goal is to smooth patient access to life-saving therapies. You will work with R&D pharma specialists to understand a problem which is hindering developing and releasing effective new pharma products which we believe we can help with. After understanding the problem you will conceptualise potential solutions; in the past our solutions have involved classical machine learning, fine-tuning large language models, or simply well-designed data transformations and business logic – we’re about elegant solutions to problems rather than the technology used.

After conceiving potential solution(s), you will work with data engineering to collate data from a wide variety of sources and develop your algorithm as a proof-of-concept. You will deliver indicative results from your PoC into datasets for visualisation and exploration by the broader multi-functional team. You will also perform code reviews with the data science team to explain your approach and its strengths and weaknesses.

After iterating the design with the multi-functional team as part of customer-led product development, you might convert your prototype into a full product. This will involve productionising your code to a high standard, containerisation, and deployment of your algorithm, usually as an API in AWS SageMaker. Over time you may revisit this product, re-evaluate its performance, and retrain/improve as required.

# Essential Requirements

* 4+ years of work related experience with Python and core data science libraries including pandas, numpy, sklearn, scipy, CatBoost, XGBoost and other similar libraries
* Must have experience deploying code in cloud preferably AWS
* Ability to design and iterate creative solutions in Jupyter notebooks
* Ability to convert successful code into well-engineered packages with appropriate use of in-built classes, modules, high/mid/low level functions, and other python best practice
* Excellent statistical knowledge especially in relation to training dataset weaknesses and DS model scoring
* Ability to work with stakeholders to manage your projects independently
* Ability to explain your technical decisions on a project to non-data scientists
* Degree at Masters level or better in a STEM field such as Maths, Physics, Computer Science, Engineering, or equivalent practical experience

# Nice to have

* Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake
* Exposure to building products that leverage large language models and generative AI
* Knowledge of the pharmaceutical industry, in particular the stages of pharmaceutical product development
* Data visualisation skills with Matplotlib, Bokeh, Seaborn, Plotly or similar libraries

# Benefits:

* Medical and prescription drug benefits
* Health savings accounts or flexible spending accounts
* Dental plans and vision benefits
* Basic life and AD&D Benefits
* 401k retirement plan
* Short- and Long-Term Disability
* Education benefits
* Paid parental leave
* Paid time off

The expected base salary for this position ranges from $140,000 to $150,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus.

Super Dispatch is looking for a Data Analyst who is passionate about using data to uncover valuable insights and drive business growth. The Data Analytics team focuses on automating manual reporting processes, delivering actionable insights for our internal business stakeholders, and delivering enterprise-level reporting for external clients. We are seeking a Data Analyst with strong SQL abilities to provide data-driven insights that will drive strategic decision making across the organization.

# Responsibilities:

* Transform data into actionable information through proficient SQL querying (PostgreSQL).
* Collaborate cross-functionally with various functions across the organization to understand requirements and objectives.
* Interpret data to identify trends, patterns, and opportunities while presenting insights in a clear and concise manner to stakeholders.
* Establish and cultivate trust with internal stakeholders, acting as a consultative analyst and digging into the “why” to determine solutions.
* Plan the data structure needed through data mockups, and write queries to create published data sources for reporting uses.
* Understand and document the meaning behind the data to accurately leverage the data for business decision-making.
* Deliver ad-hoc reports and collaborate with other members of the Data Analytics team to streamline and/or automate processes to ensure data lineage, consistency, integrity, and transparency.
* Utilize software (Notion, GitHub, Jira) to track project workflow and changes.

# Candidate Profile:

* Minimum 3+ years using SQL Queries (i.e. Amazon Redshift, Snowflake, BigQuery), and writing custom calculations
* Minimum 3+ years of experience in Data, Data Analytics, Business Intelligence with experience in collecting, interpreting and analyzing data, as well as developing data visualizations
* Experience using project management and version control tools (Notion, GitHub, Jira etc.)
* Analytical mindset - you are able to structure and process data and draw insightful conclusions from it
* Team player - you have a collaborative mindset and the ability and build positive relationships with individuals across the organization
* Business acumen – you are knowledgeable about key business topics and have the confidence to take action informed by business goals and initiatives.
* Highly motivated - you are a self-starter with a strong work ethic
* Results Driven - you take ownership, drive progress through strategic action, and focus on achieving the end result

# Growth Plan:

Within 1 month, you’ll...
* Graduate from Super Dispatch’s company-wide new employee onboarding program. You’ll get caught up with who we are, how we work, and what we're building.
* Get access to our GitHub repo and additionally tools, familiarize yourself with our current repo queries and current live dashboards.

Within 3 months, you’ll...
* Establish and cultivate trust with internal stakeholders.
* Lead query planning and create your first published query to GitHub.
* Train on query QA process.
* Document your work in Jira and Notion.

Within 6 months, you’ll...
* Be the go-to person for SQL on the Data Analytics Team and assist other team members with their queries.
* Revisit previously created queries to identify performance improvements.
* Increase the velocity of Data Analytics Team’s ability to respond to analytical requests.

# What We Do:

Our mission at Super Dispatch is to transform the world of vehicle shipping by becoming the leading platform for moving cars. For too long, the auto transport industry has been left without effective tools and instead given outdated processes and disconnected systems. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.

# Who We Are:

Our team is comprised of highly motivated professionals with a passion for solving big problems with technology. Together we've created a people-first culture where we welcome diversity of backgrounds and ideas. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We celebrate wins and milestones. We put our team and customers first. We are committed to supporting each other and helping each other grow on this journey.

# Compensation:

The salary range for this position is $70,000 - $85,000 per year.

# Summary of Benefits:

* Stock options
* Unlimited Vacation (PTO)
* 12 weeks of paid parental leave
* Fully remote role
* Growth opportunities
* Gym membership/wellness stipend
* Equipment provided

Data Analyst

The Mobalytics' mission is to create the ultimate gaming companion, providing powerful tools that enable all players to step up their game and be their best selves. In the last four years, we have gone from just servicing League of Legends players to empowering players of different genres through Teamfight Tactics, Legends of Runeterra, and Valorant. We’ve achieved a lot but there is so much we can accomplish with the right talent onboard. We need razor-sharp, experienced, autonomous, and responsible professionals who can help us grow and evolve from a small adventurous party into a disciplined raid team that can conquer any challenge.

As a Data Analyst, your insights and analysis will power the very core of our product. Your expertise with data analysis tools along with your deep domain knowledge of games will allow you to connect the dots. Generating meaningful analyses that impact player performance and behavior is our goal. If you love all sorts of games and find yourself thinking about how it all fits together, then you are definitely in the right place with us.

# Requirements

Your Technical Skill Set:
* At least 3 years of experience working as a Data Analyst/Scientist, preferably in a high-growth startup environment.
* Working knowledge of SQL.
* Experience working with BI tools, especially Mixpanel.
* Preferably experience with GCP stack, in particular with BigQuery.
* Ideally, some experience solving classical data science tasks - clustering, classification, etc.
* Being able to ask the right questions and derive meaningful insights from data.

Would be a plus:
* You have an “acceptable” level of English - we're not expecting Full Proficiency or requiring any certificates, but you must be able to communicate with the team.
* We’d love it if you are someone who plays the games we create our tools around currently but are open to people who love games and the tools that players use to get better at them. No, we don’t care if you are Bronze or Diamond.

# What you need to do if hired:

* Collaborate with product, engineering, and marketing teams to help them make data-driven decisions.
* Get meaningful insights out of the data and be able to present it to the team.
* Understand the product well enough to cover all aspects of it with the necessary tracking.
* Create requirements for engineers to implement.
* Control implementation process and results.
* Monitor the health of product tracking implementation to ensure that it's working as expected and data is correct.
* Create dashboards and reports for key areas of the business.
* Prepare reports for the executive team.
* Help teams launch A/B tests and assess their outcomes.
* Be the ambassador for data-driven culture within the company.

# What we offer:

* Fully Remote Job - we're a remote company from day one.
* Flexible working hours - except for scheduled meetings, we don’t have a working schedule or the required amount of working hours. Mobalytics is not about time spent on achieving results but about results themselves.
* $2,000 Home Office Budget after a trial period.
* Salary paid in USD, no matter where you are in the world.
* Equity Stake in the Company.
* 2 weeks of vacation + 2 more weeks company-wide vacation in Dec-Jan.

As a Data Analyst you know that hindsight may be 20:20 but insight… well, that’s worth its weight in gold. We’re looking for someone to own player insights at FuturLab, using this data to highlight opportunities and guide decisions. You’ll be excited to shape the way we use data as a studio from the ground up by establishing and advising on best practices.

You’re naturally inquisitive; always interested in what the data is really saying, rather than working off assumptions. By providing accurate and actionable data insights, you’ll make a valuable impact across a range of areas, such as game design, marketing and player engagement.

As a remote-friendly studio, we are pleased to offer remote working wherever possible. This role can be fully remote, based out of our sunny seaside office in Brighton or a mixture of both!

At FuturLab, we believe patience is as good for our games as it is our people. Therefore, we are a no-crunch studio, with a focus on wellbeing. You can read more about life at FuturLab .

# Our ideal candidate will be:

* Naturally collaborative. You’ll relish speaking regularly with a variety of teams to investigate queries, solve problems and make improvements where needed.
* A superb communicator. You know that people don't always know what they want, or ask for the right things. You can help them clarify what they need, and then make it happen. You can get your point across to game designers, producers, programmers, and executives, adapting the way you communicate from spread sheets and detail, through to PowerPoints and the bigger picture as needed.
* A data whisperer. Okay, maybe the numbers don’t actually speak to you, but you are a pro with statistics, probability and quantitative analysis methods.
* Experienced in using data to improve games. You’re adept at using player behaviour data to help make better decisions and improve products and used to applying data-backed analyses in games to produce insights that help improve design.

# Benefits

* Competitive salary dependent on experience + performance related bonus
* Generous pension scheme
* Private health insurance
* Enhanced Maternity and Paternity leave
* Free remote therapy service via 
* 21 days holiday, 8 bank holidays (plus our own FuturLab bank holiday) + 2 duvet days
* Extra days off over the Christmas period
* Bike2work scheme
* Free eye test + standard glasses for display work
* Staff referral bonus
* Regular social activities