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Tier-1 employer, mid-level data scientist title, metro location, and broad ML skill requirements increase candidate competition.
Applied data science skills transfer across industries, though healthcare experience preference increases domain specificity.
Explicit minimum four years, mandatory Python/SQL and ML skills create strict shortlisting criteria.
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Design, build, validate machine learning and statistical models for segmentation, optimization, and impact measurement.
Develop reproducible data pipelines and production-ready assets using Python, SQL, and cloud/distributed compute tools.
Analyze experiments and observational studies for impact measurement; present actionable insights to stakeholders.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
Minimum 4 years of experience in data analytics, applied statistics, or data science roles.
Strong programming skills in Python and SQL.
Hybrid work model in India with onsite presence as agreed with manager.
Experienced in applied statistics and causal analysis methods relevant to experimental and observational study data.
Comfortable working cross-functionally with technology, analytics, and business partners to deliver actionable solutions.
Background in building production-grade machine learning pipelines using cloud or distributed computing environments.