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
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Robotics Engineering, Software Development, and Technology, Information and Media
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