Staff Data Scientist

Stripe

Hybrid

Quick summary

Work type: Hybrid
Location: South San FranciscoNew York, NYSeattle, WA
Salary: $205,400–$308,000 / yr
Posted: 118 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $257k

$88k most similar roles pay here $332k

This role pays more than 96% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $257k versus about $163k 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

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 strategic initiatives that accelerate business growth through advanced analytics and data-driven solutions. You will lead cross-functional teams in developing sophisticated tools like experimentation, forecasting, and personalization to enhance user engagement and optimize marketing spend. Your role involves providing technical direction on complex projects, identifying company-wide opportunities through data science, and contributing to the team’s strategic vision while fostering a culture of innovation and excellence. Ideal candidates have over 10 years of experience in quantitative fields, expertise in causal inference, and a track record of leading impactful initiatives across multiple teams. Strong preference is given to those with experience in Growth, Marketing Measurement, or Sales Automation, as well as hands-on development and deployment of machine learning frameworks.

Skills

Python R SQL Kubernetes Terraform AWS CI/CD Docker Prometheus Grafana PostgreSQL BigQuery Snowflake GitLab Jupyter Airflow

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 and opportunities through data analysis and modeling.
Develop comprehensive measurement plans to evaluate the impact of marketing spend.
Mentor and inspire data science talent within the organization to foster innovation.

What we're looking for

10+ years of data science experience or equivalent in a quantitative field.
Strong background in causal inference and modern statistical techniques.
Proven track record of leading cross-functional initiatives across multiple teams.
Expertise in collaborating with stakeholders to drive business outcomes effectively.
Experience creating alignment in ambiguous situations and balancing execution with research.
Demonstrated ability to mentor and develop data science talent within the organization.

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