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Hone Health is an online medical clinic transforming healthcare and longevity through cutting-edge scientific advancements. The company is fully remote-first and values mission-driven work focused on helping people live longer, healthier lives.
You will join the data team as a Senior Data Scientist, Marketing, reporting to the Sr. Director of Data, Analytics, and Machine Learning. This is a senior individual contributor role with significant ownership over execution and delivery. You'll partner closely with Marketing, Growth, and Product stakeholders to improve customer acquisition, conversion, and retention through data-driven insights and statistical modeling.
Key responsibilities include:
- Analyze and optimize the full customer funnel (acquisition, conversion, retention, churn)
- Build and maintain statistical models for attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimization
- Design, analyze, and interpret A/B and multivariate experiments across marketing channels with statistical rigor
- Translate business questions into well-scoped analytical projects with clear success metrics
- Collaborate with data engineering and analytics engineering to define data requirements and ensure reliable datasets
- Communicate findings and recommendations to non-technical stakeholders through presentations, dashboards, and documentation
- Contribute to shared analytics and modeling best practices within the data science team
- Mentor junior team members through informal guidance, code review, and knowledge sharing
- Stay current on industry trends in marketing analytics and experimentation
Required qualifications:
- 5+ years of professional experience in Data Science, Analytics, or related quantitative role
- Master's degree in Statistics, Mathematics, Economics, Computer Science, or related field
- Strong proficiency in Python for data analysis, statistics, and modeling
- Strong SQL skills and experience with production analytics datasets
- Experience applying data science to marketing or growth problems (funnel analysis, experimentation, attribution, retention modeling)
- Solid understanding of statistical methods, experimentation design, and model evaluation
- Experience in cross-functional, agile environments with marketing, product, or business stakeholders
- Familiarity with Git and collaborative development workflows
- Experience with cloud-based data environments (AWS, GCP, or Azure)
- Strong written and verbal communication skills for explaining complex analyses to non-technical audiences
- Ability to manage multiple priorities and deliver high-quality work independently in a fast-paced environment
