Data Science Intern (Summer 2026)

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:

• Fight for the Customer
• Execute Ruthlessly
• Communicate Candidly, Clearly, and Kindly
• Collaborate Selflessly
• Practice Calculated Risk-Taking
• Maximize Joy and Gratitude

Hone has been fully virtual from day one and will continue to be a remote-first employer.

Our ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an “all-in” disposition towards work, understanding that we are a fast-paced, high-growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.

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.

• →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

• 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

• 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

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)

• 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

• 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)