Senior Data Scientist Equity at VC-backed AI product intelligence platform

Position: Senior Data Scientist (+ Equity) at VC-backed AI product intelligence platform
This is a job that we are recruiting for on behalf of one of our customers.

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Senior Data Scientist

VC-backed AI product intelligence platform

Job Description

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.

What you will do

• Build and optimize robust data pipelines (ETL/ELT) across SQL/No

SQL 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.

The ideal candidate

• Strong proficiency in Python for data science and machine learning workflows, with hands-on experience in frameworks like PyTorch, Tensor Flow, 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.

How to Apply

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4. Talk to Jack for 20 minutes so he can understand your experience and ambitions
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