Senior Data Scientist, Marketing
Hone Health
WorldwideremotePosted 1 month ago
Skill Required
Data-ScienceMarketing-AnalyticsGrowth-AnalyticsProduct-AnalyticsSenior-Marketing-Data-ScientistMarketing-Data-ScientistSenior-Marketing-Analytics-SpecialistSenior-Staff-Data-ScientistSenior-Machine-Learning-Data-ScientistData ScientistConversion OptimizationMachine Learningdata engineeringrelated fieldEngineeringStatisticsanalyticalanalyticsbuildingwrittenAzurePythondesignAgileCloudDesign PatternsSQLAWSGCPGitandFulltime
Key highlights
- Senior Data Scientist, Marketing role
- 5+ years of professional experience in Data Science, Analytics, or a related quantitative role required
- Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related field required
- Remote-first work environment
- Reports to Sr. Director, Data, Analytics, and Machine Learning
- Competitive compensation and equity options
Role overview
Hone, a fully remote online medical clinic focused on transforming healthcare and enhancing longevity, is hiring a Senior Data Scientist, Marketing to join its growing data team. Reporting to the Sr. Director, Data, Analytics, and Machine Learning, this senior individual contributor will partner closely with Marketing, Growth, and Product stakeholders to improve customer acquisition, conversion, and retention through data-driven insights and modeling. The role centers on building statistical models, designing and interpreting experiments, and translating ambiguous business questions into machine learning solutions that inform marketing strategy, optimize funnel performance, and improve customer lifetime value.
Responsibilities
- 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.
Requirements
- 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.
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
Additional details
- Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity.
- Hone uses cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential.
- Hone's people are the heart of everything they do and drive their success.
- Hone's brand values: Fight for the Customer; Execute Ruthlessly; Communicate Candidly, Clearly, and Kindly; Collaborate Selflessly; Practice Calculated Risk-Taking; Maximize Joy and Gratitude.
- Hone has been fully virtual from day one and will continue to be a remote-first employer.
- The ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful, embraces change, tackles challenges with enthusiasm, has an 'all-in' disposition, can excel at independent tasks and collaborative work, leads with clear and candid communication, exhibits humble leadership, and feels strongly about being part of a team that advocates for people to live longer and better lives.
- This is a senior individual contributor role with significant ownership over execution and delivery.
- The role reports to the Sr. Director, Data, Analytics, and Machine Learning.
- The role partners closely with Marketing, Growth, and Product stakeholders.
- The role is ideal for someone who enjoys translating business questions into machine learning solutions, shipping high-quality work independently, and collaborating cross-functionally to drive tangible results.
- Benefits are available to full-time, regular employees, and not to independent contractors, part-time employees, temporary employees, or interns.
- Hone is an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion.
- Hone will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process and to perform essential job functions; candidates should contact Hone to request accommodation.
- Originally posted on Himalayas.