PhD Data Scientist, Intern

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

Minimum Requirements

• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in December 2027 or spring/summer 2028
• Experience with SQL and a scientific computing language (such as 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

Preferred Qualifications

• Experience writing and debugging data pipelines
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
• Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

Skills

• Ambitious builder: You’re energized by building solutions without clear precedent and solving problems with far-reaching consequences.
• Rigorous thinker: You appreciate that things worth doing are rarely simple. You enjoy working on problems that have never been tackled before.
• Adaptable problem solver: You adapt quickly and treat obstacles as opportunities. At Stripe we embrace kindness while encouraging Stripes to take measured risks and act boldly, even in the absence of consensus.

Benefits

• equity
• company bonus or sales commissions/bonuses
• 401(k) plan
• medical, dental, and vision benefits
• wellness stipends

Pay

The annual US base salary range for this role is $163,800 - $163,800. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Schedule

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.