Hone Health is looking for a Senior Data Scientist, Marketing to join our data team. This is a senior individual contributor role focusing on improving customer acquisition, conversion, and retention through data-driven insights and modeling. You will partner closely with Marketing, Growth, and Product stakeholders to translate business questions into machine learning solutions and drive tangible results.
What You'll Do
- Partner with Marketing teams to analyze and optimize the full customer funnel, including acquisition, conversion, retention, and churn.
- Build and maintain statistical models and analyses related to key marketing use cases such as attribution, LTV, CAC, churn prediction, cohort analysis, and conversion optimization.
- Design, analyze, and interpret experiments (A/B and multivariate tests) across marketing channels and on-site experiences, ensuring statistical rigor and clear recommendations.
- Translate ambiguous business questions into well-scoped analytical projects with clear success metrics and timelines.
- Collaborate with data engineering and analytics engineering partners to define data requirements and ensure reliable, well-modeled datasets for marketing analytics.
- Clearly communicate findings and recommendations to non-technical stakeholders through presentations, dashboards, and written documentation.
- Contribute to shared analytics and modeling best practices within the data science team, including code quality, validation, and documentation.
- Support junior team members through informal mentorship, code review, and knowledge sharing where appropriate.
- Stay current on industry trends and techniques in marketing analytics, experimentation, and applied data science, and apply them pragmatically to Hone’s context.
What We're Looking For
- 5+ years of professional experience in Data Science, Analytics, or a related quantitative role.
- Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field.
- Strong proficiency in Python for data analysis, statistics, and modeling.
- Strong proficiency in SQL and experience working with production analytics datasets.
- Experience applying data science to marketing or growth problems, including funnel analysis, experimentation, attribution, or retention modeling.
- Solid understanding of statistical methods, experimentation design, and model evaluation.
- Experience working in cross-functional, agile environments with marketing, product, or business stakeholders.
- Familiarity with version control (Git) and collaborative development workflows.
- Experience working in cloud-based data environments (e.g., AWS, GCP, or Azure).
- Strong written and verbal communication skills, with the ability to explain complex analyses to non-technical audiences.
- Ability to manage multiple priorities, work independently, and deliver high-quality work in a fast-paced environment.
Technical Stack
- Python, SQL, Git
- AWS, GCP, Azure
Team & Environment
This role reports to the Sr. Director, Data, Analytics, and Machine Learning.
Benefits & Compensation
- 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
Work Mode
This is a fully remote position.
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.





