Data Science Intern (Summer 2026)

The Role

We are looking for a Data Scientist Intern to join our Data, Analytics & Machine Learning team for Summer 2026. In this role, you will work on high-impact problems across product, clinical, and marketing domains. You will partner with data scientists, engineers, and business stakeholders to translate ambiguous problems into data-driven solutions and deliver measurable impact. This is a hands-on role where you will contribute across the full data science lifecycle—from data exploration and experimentation to modeling and stakeholder communication.

What You’ll Do

• Analyze large, complex datasets to uncover trends, patterns, and opportunities for product and clinical improvement
• Build and evaluate predictive models (e.g., classification, regression, forecasting) to drive decision-making
• Design and analyze experiments (A/B tests) to measure the impact of product and growth initiatives
• Partner with cross-functional teams to define problems, scope solutions, and deliver actionable insights
• Develop dashboards and visualizations to communicate key metrics and findings to stakeholders
• Collaborate with data engineers to ensure reliable data pipelines and scalable model deployment
• Present results and recommendations to technical and non-technical audiences

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
• Strong foundation in statistics, probability, and machine learning fundamentals
• Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn)
• Experience writing SQL queries to analyze and manipulate data
• Strong problem-solving skills and attention to detail
• Ability to communicate complex ideas clearly and effectively

Preferred Qualifications

• Experience with experimentation, A/B testing, or causal inference
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow)
• Experience with data visualization tools (e.g., Plotly, Power BI, Looker)
• Exposure to working with large-scale or production datasets
• Interest in healthcare, longevity, or personalized medicine

Tools & Technologies

You may work with:

• Python (PySpark, Pandas, NumPy, Scikit-learn, PyTorch)
• SQL (Spark SQL or similar)
• Data transformation tools (e.g., dbt)
• BI & visualization tools (e.g., Power BI)

What You’ll Gain

• Hands-on experience working on production-grade data science problems
• Mentorship from experienced data scientists and exposure to industry best practices
• Ownership of projects with real business and clinical impact
• Experience working in a fast-paced, remote, cross-functional environment

Compensation

$20–$25/hour, 40 hours per week

Additional Requirements

• Must be able to work full-time (40 hours per week) during the internship
• This is a remote role based within the United States; candidates must be located within the U.S.
• This role is not eligible for current or future visa sponsorship (including CPT, OPT, or H-1B)