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

Requirements

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
Must be able to work full-time (40 hours per week) during the internship
This role is not eligible for current or future visa sponsorship (including CPT, OPT, or H-1B)

Benefits

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
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysispredictive modelingclassificationregressionforecastingA/B testingstatisticsprobabilitymachine learningSQL

Soft Skills

problem-solvingattention to detailcommunication