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.

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.

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

Senior Data Scientist, Product

Key skills