Data Science Manager, Monetization Platform
Seattle, WA
Stripe
Stripe powers online and in-person payment processing and financial solutions for businesses of all sizes. Accept payments, send payouts, and automate financial processes with a suite of APIs and no-code tools.Build intelligence into our core pricing, revenue collection and cost estimation infrastructure.
At Stripe, data science managers grow teams and inspire them to rigorous work that shapes our decisions and products. We’re looking for an experienced data science manager to lead our team supporting Stripe’s Monetization team.
As a platform company powering businesses all over the world, Stripe processes payments, runs marketplaces, and detects fraud, helping entrepreneurs start an internet business from anywhere in the world. Monetization Platform provides a central entry point to Stripe teams for monetizing products in global markets, building the platforms that allow us to sell, price, collect revenue, report, and derive insights, across our entire product suite. Data Science is core to this effort, from anomaly detection to ensure accurate billing, to working with engineers on ML-based cost estimation models, to ensuring that we have the right metrics and observability to rigorously measure our performance, we help to make these critical systems understandable, reliable and adaptive.
You will:
- Lead a team of data scientists and analysts to:
- Define and measure key outcome metrics for our systems
- Build models to detect and explain cost and billing anomalies
- Work closely with engineers, product managers and operations to identify important questions and answer them with data
- Partner closely with product and engineering teams to identify and prioritize the most important data science projects
- Recruit great data scientists and analysts, in collaboration with Stripe’s recruiting team
- Develop data scientists and analysts on the team, helping them advance in their careers, providing them with continuous feedback
You’d ideally have:
- 4+ years of data science experience; 1+ years of management experience
- A PhD or MS in a quantitative field (e.g., Statistics, Economics, Sciences, Mathematics, Engineering)
- Expert knowledge of a scientific computing language (such as R or Python) and SQL
- Strong knowledge of statistics and machine learning
- Experience building data pipelines and working with data processing systems like Spark
- Ability to communicate results clearly and a focus on driving impact
Tags: Data pipelines Economics Engineering Machine Learning Mathematics PhD Pipelines Python R Spark SQL Statistics
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Business Data Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs