Staff Data Scientist, Growth

Stripe

Remote Hybrid

Quick summary

Work type: Remote
Location: South San Francisco, CANew York, NYSeattle, WA
Salary: $205,400–$308,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k

This role $257k

$100k most similar roles pay here $330k

This role pays more than 93% of similar roles. Most pay $133,375–$211,839 — the shaded band above. At the midpoint, this role pays about $257k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About Stripe

Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology

Stripe currently has 80 open roles on FindRole.

Listed pay typically runs $178,600–$268,400 across 75 roles with salary data.

Most-posted roles

View all roles at Stripe

At a glance

TL;DR · Staff Data Scientist, Growth

Role Posting Log in to save

Join Stripe's data science team focused on Growth and Go-to-Market efforts as a senior leader responsible for driving business strategy through advanced analytics. You will lead cross-functional teams to develop intelligent data products, conduct ROI analysis for marketing spend, and build comprehensive measurement plans. Your day-to-day involves providing technical direction in areas like experimentation, attribution, and forecasting, while also identifying company-wide problems that can be solved with data science. Ideal candidates have over 10 years of experience in quantitative fields, expertise in causal inference, and a track record of leading large-scale initiatives. Proficiency in AI tools for model development and coding is essential, along with strong collaboration skills across multiple teams. Experience in Growth, Marketing Measurement, or Sales Automation is preferred, as well as the ability to mentor data science talent and foster innovation within the organization.

Skills

Python SQL R Terraform Kubernetes Docker CI/CD Prometheus Grafana Apache Airflow Snowflake PostgreSQL Redis MLOps GitLab Jupyter Tableau PowerBI

What you'll do

Provide strategic direction on business growth using data science and causal inference.
Lead technical initiatives in areas like experimentation, attribution, and forecasting.
Identify company-wide problems solvable with data science and design solutions.
Contribute to the strategy and vision of the data science team and organization.
Mentor data science talent for technical and professional development.

What we're looking for

10+ years of data science experience or equivalent quantitative field expertise
B.S., M.S., or Ph.D. in a quantitative discipline such as Statistics, Mathematics, Economics, etc.
Experience with modern causal inference techniques and leading cross-functional initiatives
Ability to collaborate effectively across multiple teams and stakeholders
Demonstrated skill in balancing execution speed with research depth and scalable design
Proficiency with AI tools for model development, analysis, and coding
Experience mentoring peers and investing in their professional growth

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