Remote · worldwide, UTC+4 acceptedSalary not disclosedfull-timeVerified 1w agoHimalayas
Hone is looking for a Senior Data Scientist, Product to join our growing data team. In this role, you will report to the Sr.
Responsibilities
Key responsibilities for this role include (but are not limited to) the following
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.
