Note: The job is a remote job and is open to candidates in USA. Hone Health is an online medical clinic transforming healthcare and enhancing longevity. They are seeking a Senior Data Scientist, Product to join their data team, focusing on building statistical models and providing data-driven insights to improve customer acquisition, conversion, and retention.
Responsibilities
- Partner with Product & Engineering teams to analyze and optimize product engagement and the full customer funnel, including acquisition, conversion, retention, and churn
- Build and maintain statistical models and analyses related to key product use cases such as A/B tests, cohort analysis, and conversion/retention 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
Skills
- 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 product 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
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 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.
Company Overview
Company H1B Sponsorship