Senior Data Scientist (+ Equity) at VC-backed AI product intelligence platform
About The Position
Join a pioneering team building a simulation engine for adaptive software. As a Senior Data Scientist, you'll enhance foundational data science infrastructure, from pipelines to experimentation. Apply expertise in statistical modeling, ML, and data engineering to design and scale data-driven solutions, directly shaping how customers de-risk product bets and personalize experiences before launch. Location: San Francisco, USA Why this role is remarkable: Join a team creating the simulation layer for software, reinventing product development by replacing traditional A/B testing. Backed by top-tier VCs and product/engineering leaders from leading tech companies, ensuring world-class support and resources. Blend behavioral modeling, cognitive science, and cutting-edge AI to solve real product challenges, shipping fast and seeing impact quickly.
Requirements
- Strong proficiency in Python for data science and machine learning workflows, with hands-on experience in frameworks like PyTorch, TensorFlow, or Scikit-learn.
- Expertise in large-scale unstructured data manipulation, specifically inferring user characteristics and traits from complex datasets.
- Solid experience preparing comprehensive reports and slide decks for user segmentation and behavioral insights, coupled with a strong foundation in statistics, probability, and causal inference.
Responsibilities
- Build and optimize robust data pipelines (ETL/ELT) across SQL/NoSQL systems, ensuring reliability and quality of large-scale event/log data.
- Collaborate with GenAI experts, behavioral scientists, and ML engineers to create synthetic personas and customer-ready reports and presentations.
- Apply advanced statistical modeling, causal inference, and machine learning to analyze user behavior, design experiments, and generate actionable insights.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
