Associate Data Scientist
Analyze data, train models, and expand algorithmic product features using Python, SQL, and frontier LLMs. Build data products and evaluate AI agent performance in collaboration with engineering and product teams.
What You’ll Do
- Data analysis, filtration and quality assurance. Development of high quality Data Products to support internal and external stakeholders alike
- Create context windows, tooling, instructions and evaluation frameworks for agentic tools, and evaluating their performance
- Work closely with other Engineering and Product colleagues to advance the development of complex and sophisticated algorithmic product features
- Communicate and clearly present results verbally, in writing and graphically
- Propose ideas and solutions to problems observed during the course of other assignments
What You’ll Have
- Programming experience in Python
- Data Analysis experience in SQL
- Past experience with agentic programming tools such as Claude Code, Codex, AMP, Cursor, or Google Antigravity; familiarity with working in a Console environment and using version control systems like Github
- Autodidactic, Self directed – You are able to dive into a new unfamiliar problem domain and start learning about it – You are comfortable with uncertainty and project evolution
- Effective communicator, a good writer, and know effective means of visually displaying quantitative information
- Effective user of team collaboration tools in the Atlassian stack, specifically Jira and Confluence
- Multitasking and prioritization skills to respond in a timely manner to colleagues
Bonus Points
- Quantitative Degree (e.g. Math, Physics, Computer Science, Operations Research, Engineering, Life Sciences, etc.)
- Experience with AWS, Linux and Mac environments
- Past experience working in an analytical capacity (e.g. any kind of analytical role) or building data products
- Experience in statistical approaches in Python, Excel, or R
- Experiences with the machine learning, data processing and visualization packages (e.g. Pandas, Numpy, scikit-learn, Matplotlib, D3.js, etc.)
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