Startup Resources
Senior Data Scientist – Customer Intelligence
Startup Resources, San Francisco, California, United States, 94199
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 Technology Industries Robotics Engineering, Software Development, and Technology, Information and Media Referrals increase your chances of interviewing at Startup Resources by 2x Sign in to set job alerts for “Data Scientist” roles.
Mountain View, CA $48.00-$58.90 2 days ago San Francisco, CA $140,000.00-$160,000.00 1 day ago Mountain View, CA $50.00-$60.00 2 days ago Dublin, CA $77,900.00-$117,050.00 1 week ago Santa Clara, CA $92,000.00-$149,500.00 2 days ago San Francisco, CA $69.00-$89.00 6 days ago San Francisco, CA $89,900.00-$149,550.00 2 days ago San Francisco, CA $40,000.00-$120,000.00 2 days ago Stanford, CA $82,468.00-$106,256.00 1 week ago Principal Insights Analyst, LMS Customer Insights
San Francisco, CA $148,000.00-$230,000.00 3 days ago Fairfield, CA $115,000.00-$140,000.00 2 days ago Foster City, CA $89,900.00-$149,550.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
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 Technology Industries Robotics Engineering, Software Development, and Technology, Information and Media Referrals increase your chances of interviewing at Startup Resources by 2x Sign in to set job alerts for “Data Scientist” roles.
Mountain View, CA $48.00-$58.90 2 days ago San Francisco, CA $140,000.00-$160,000.00 1 day ago Mountain View, CA $50.00-$60.00 2 days ago Dublin, CA $77,900.00-$117,050.00 1 week ago Santa Clara, CA $92,000.00-$149,500.00 2 days ago San Francisco, CA $69.00-$89.00 6 days ago San Francisco, CA $89,900.00-$149,550.00 2 days ago San Francisco, CA $40,000.00-$120,000.00 2 days ago Stanford, CA $82,468.00-$106,256.00 1 week ago Principal Insights Analyst, LMS Customer Insights
San Francisco, CA $148,000.00-$230,000.00 3 days ago Fairfield, CA $115,000.00-$140,000.00 2 days ago Foster City, CA $89,900.00-$149,550.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr