PhD Data Scientist Intern - Build ML Solutions for Growth

Stripe

San Francisco (CA)

On-site

USD 39,000 - 73,000

Full time

14 days+

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Job summary

Stripe is seeking an ambitious Data Science intern to work on projects that affect millions of businesses. You’ll own problems end to end with guidance from mentors, building scalable data pipelines, dashboards, and models.

You’ll extract insights from complex Stripe data, inform product and business decisions, and communicate findings clearly to partner teams. The internship emphasizes rigorous analysis, experimentation, and collaboration in a fast-paced environment, with opportunities to

Qualifications

  • Enrolled in a quantitative PhD program with the expectation of graduating in December 2027 or spring/summer 2028.
  • Experience with SQL and a scientific computing language (Python, R, etc.).
  • Proficiency with AI tools to accelerate model development, analysis, and coding.
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment.

Responsibilities

  • Applying probability distributions, statistical inference, and hypothesis testing to quantify uncertainty and evaluate business outcomes.
  • Using Python or R for data analysis, data processing, visualizations, statistical modeling, machine learning, predictive analytics, automation, and implementing causal inference and experimental analyses.
  • Building, training, and evaluating predictive models across regression and classification tasks for bias-variance trade-offs and model selection.
  • Modeling temporal dependencies, seasonality, and trend decomposition to generate and evaluate time-series predictions.
  • Identifying structural patterns, clusters, and outliers in unlabeled data.
  • Deploying models in production and adjusting model thresholds to improve performance.
  • Designing, running, and analyzing complex experiments and leveraging causal inference designs.
  • Using SQL and Spark to create, transform, and analyze large datasets.
  • Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly.
  • Present your work to the Data Science team, partner teams, and fellow interns.

Skills

Statistical analysis
Machine learning
Experiment design
Data storytelling

Education

PhD program in Data Science/Statistics/Economics/ Mathematics

Tools

SQL
Python
R
Spark

Job description

Stripe is seeking an ambitious Data Science intern to work on projects that affect millions of businesses. You’ll own problems end to end with guidance from mentors, building scalable data pipelines, dashboards, and models.

You’ll extract insights from complex Stripe data, inform product and business decisions, and communicate findings clearly to partner teams. The internship emphasizes rigorous analysis, experimentation, and collaboration in a fast-paced environment, with opportunities to

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