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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, validate, and monitor machine learning models to solve business problems like forecasting, segmentation, and recommendation.
Conduct exploratory data analysis and design/analyze A/B tests to generate actionable insights driving company decisions.
Collaborate with product, engineering, and business teams to translate questions into analytical problems and communicate findings to technical and non-technical stakeholders.
Minimum Requirements
3+ years of experience in data science, applied ML, or quantitative analytics roles.
Strong proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
Solid understanding of statistics and experiment design, including A/B testing methodology.
Work Experience Required: 3+ years in relevant roles.
Ideal Candidate Profile
Demonstrated ability to apply machine learning and statistical analysis to real-world business problems with production-quality outcomes.
Comfortable collaborating cross-functionally to translate business questions into analytical approaches and communicate insights effectively.
Experience working with large datasets and maintaining data pipelines, with exposure to model monitoring and deployment.