Data Science Intern @ Hone Health

About Hone

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

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.

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)

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 environment
Competitive compensation and equity options
Health, dental, and vision insurance coverage
Short-term disability and basic life coverage
Flexible Spending Accounts (FSAs)
Lifestyle Spending Accounts (LSAs)
We follow federal holidays and have uncapped time off for exempt employees
Budget 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 contractors, part-time employees, temporary employees, or interns.

We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.

Hone Health

Data Science Intern

About the Job

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Desired Qualifications

About the Company

Hone Health

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