Senior Data Scientist, Product

This is a fully remote position, open to applicants in New York.

📋 Description

• Collaborate with Product and Engineering teams to assess and enhance product engagement and the complete customer journey, covering acquisition, conversion, retention, and churn.

• Develop and sustain statistical models and analyses pertaining to key product use cases such as A/B testing, cohort analysis, and optimization of conversion and retention.

• Design, evaluate, and interpret experiments (including A/B and multivariate tests) across various marketing channels and on-site experiences, ensuring statistical integrity and providing clear recommendations.

• Convert vague business inquiries into well-defined analytical projects, equipped with clear success metrics and timelines.

• Work in partnership with data engineering and analytics engineering teams to establish data requirements and guarantee the availability of reliable, well-structured datasets for marketing analytics.

• Effectively communicate insights and recommendations to non-technical stakeholders through presentations, dashboards, and written reports.

• Contribute to the establishment of shared analytics and modeling best practices within the data science team, focusing on code quality, validation, and documentation.

• Provide support to junior team members through informal mentorship, code reviews, and knowledge sharing when applicable.

• Remain updated on industry trends and methodologies in marketing analytics, experimentation, and applied data science, applying them effectively within Hone’s context.

⛳️ Requirements

• Over 5 years of professional experience in Data Science, Analytics, or a related quantitative field.

• A Master’s degree in Statistics, Mathematics, Economics, Computer Science, or a related discipline.

• Advanced proficiency in Python for data analysis, statistics, and modeling purposes.

• Strong command of SQL and experience with production analytics datasets.

• Proven experience in applying data science to product or growth challenges, including funnel analysis, experimentation, attribution, or retention modeling.

• Comprehensive understanding of statistical techniques, experimentation design, and model evaluation.

• Experience in cross-functional, agile settings collaborating with marketing, product, or business stakeholders.

• Familiarity with version control systems (Git) and collaborative development processes.

• Experience in cloud-based data environments (e.g., AWS, GCP, or Azure).

• Excellent written and verbal communication skills, with the capability to clarify complex analyses to non-technical audiences.

• Ability to juggle multiple priorities, work autonomously, and deliver high-quality results in a dynamic 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 observe federal holidays and offer uncapped time off for exempt employees

• Budget for the technology tools you need (laptop, monitor, and/or specialized software)

• Focus on company-sponsored activities to enhance engagement (both virtual and in-person)

• Waived membership fees for any Hone team members utilizing Hone products