Data Science Intern (Summer 2026)

About HoneHone 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 CustomerExecute RuthlesslyCommunicate Candidly, Clearly, and KindlyCollaborate SelflesslyPractice Calculated Risk-TakingMaximize Joy and GratitudeHone has been fully virtual from day one and will continue to be a remote-first employer.Our Ideal CandidateOur 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.The RoleWe 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 DoAnalyze large, complex datasets to uncover trends, patterns, and opportunities for product and clinical improvementBuild and evaluate predictive models (e.g., classification, regression, forecasting) to drive decision-makingDesign and analyze experiments (A/B tests) to measure the impact of product and growth initiativesPartner with cross-functional teams to define problems, scope solutions, and deliver actionable insightsDevelop dashboards and visualizations to communicate key metrics and findings to stakeholdersCollaborate with data engineers to ensure reliable data pipelines and scalable model deploymentPresent results and recommendations to technical and non-technical audiencesMinimum QualificationsCurrently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related fieldStrong foundation in statistics, probability, and machine learning fundamentalsProficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn)Experience writing SQL queries to analyze and manipulate dataStrong problem-solving skills and attention to detailAbility to communicate complex ideas clearly and effectivelyPreferred QualificationsExperience with experimentation, A/B testing, or causal inferenceFamiliarity 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 datasetsInterest in healthcare, longevity, or personalized medicineTools & TechnologiesYou 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 GainHands-on experience working on production-grade data science problemsMentorship from experienced data scientists and exposure to industry best practicesOwnership of projects with real business and clinical impactExperience working in a fast-paced, remote, cross-functional environmentCompensation$20–$25/hour, 40 hours per weekAdditional RequirementsMust be able to work full-time (40 hours per week) during the internshipThis 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)Benefits*Hone wants our team to be in the best condition of their lives, so we offer a range of benefits including:A remote-first work environmentCompetitive compensation and equity optionsHealth, dental, and vision insurance coverageShort-term disability and basic life coverageFlexible Spending Accounts (FSAs)Lifestyle Spending Accounts (LSAs)We follow federal holidays and have uncapped time offBudget for the technology tools you need (laptop, monitor, and/or special software)A focus on company-sponsored activities to foster engagement (both virtual and in-person)Waived membership fees for any Hone team members utilizing Hone products*These benefits are available to full-time, regular employees, and not to independent contract