Startup Resources

Senior Data Scientist - Customer Intelligence

Startup Resources, San Francisco

San Francisco (Onsite 4 days / week) | Up to $275K base + equity | H-1B transfers supported

We're rethinking how product and growth teams make decisions — using AI to turn real-time user behaviour and feedback into instant, actionable insight.

As Senior Data Scientist , you'll sit at the intersection of data, product, and engineering — owning the intelligence layer that makes our platform truly valuable. You'll design the frameworks, metrics, and models that drive how product teams understand what users need before they ask.

This is a hands-on role for a highly experienced data scientist who wants to shape an early product, define the data culture, and work with a world-class technical team.

What you'll do

Build real-time analytics pipelines to surface trends in product usage and customer feedback
Partner with engineering to define the architecture of our data and experimentation stack
Design and implement causal inference, A / B testing, and model evaluation frameworks
Create tooling and metrics that power internal decision-making and external customer features
Translate raw user behaviour into clear product signals that drive growth, retention, and engagement

What we're looking for

5+ years in product analytics or applied data science

Experience at a product-led tech company (e.g. Meta, Airbnb, Stripe, DoorDash, Netflix, Palantir, etc.)

Strong Python (pandas, NumPy, scikit-learn, StatsModels) and SQL (BigQuery, Snowflake, etc.)

Deep understanding of experimentation design, causal inference, and behavioural data

Track record of building frameworks or tools that were adopted across product or growth teams

Bonus : Exposure to LLMs, embeddings, and summarisation of qualitative user feedback

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Robotics Engineering, Software Development, and Technology, Information and Media

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