Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Drive product analytics and define key product metrics including user behavior and feature performance to influence product and growth decisions.
Build, validate, and operationalize analytical and predictive models end-to-end for segmentation, scoring, forecasting, and decision support with SQL and Python.
Design and execute experiments such as A/B tests to measure impact of product changes and AI outputs, while ensuring data quality and pipeline robustness.
Minimum Requirements
6-8 years of analytics or data science experience with ownership of analytical or modeling projects.
Strong proficiency in SQL and Python including libraries like pandas, NumPy, and scikit-learn.
Experience with product analytics, experimentation (A/B testing), and applied data science in commercial or product contexts.
Work Experience Required: 6-8 years as explicitly mentioned in the JD. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong track record driving product and commercial decisions through data in growth, DTC/e-commerce, marketplace, or unit-economics-driven environments.
Proven ability to translate ambiguous business problems into structured analyses and operational models with measurable impact.
Experienced in deploying models and analytics into production workflows and collaborating cross-functionally with Product, Engineering, and Data teams to operationalize AI-driven insights.