Senior Data Scientist, Product

Hone

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential.

Responsibilities

  • Partner with Product & Engineering teams to analyze and optimize product engagement and the full customer funnel
  • Build and maintain statistical models and analyses related to A/B tests, cohort analysis, and conversion/retention optimization
  • Design, analyze, and interpret experiments across marketing channels and on-site experiences
  • Translate ambiguous business questions into well-scoped analytical projects
  • Collaborate with data engineering and analytics engineering partners to define data requirements
  • Communicate findings and recommendations to non-technical stakeholders through presentations and dashboards
  • Contribute to shared analytics and modeling best practices including code quality and documentation
  • Support junior team members through informal mentorship and code review

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 product or growth problems
  • Solid understanding of statistical methods, experimentation design, and model evaluation
  • Experience working in cross-functional, agile environments
  • Familiarity with version control (Git)
  • Experience working in cloud-based data environments (e.g., AWS, GCP, or Azure)
  • Strong written and verbal communication skills

Benefits

  • 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)
  • Uncapped time off for exempt employees
  • Technology budget for tools and hardware
  • Waived membership fees for Hone products

Skills & tools

PythonSQLA/B Testing

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years Data Science experience
  2. 02Master's degree in quantitative field
  3. 03Proficiency in Python and SQL
  4. 04Experience with experimentation and funnel analysis
  5. 05Cloud data environment experience
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