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Tier-1 brand, popular mid-level data role, metro hybrid location and broad skillset increase applicant competition.
Core ML, statistics and production skills transfer across industries, though healthcare experience is preferred.
Explicit minimum experience plus required ML and production skills increase shortlisting rigidity.
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Design, build, and validate machine learning and statistical models for segmentation, optimisation, and impact measurement.
Develop reproducible data pipelines and production-ready assets using Python, SQL, and cloud or distributed compute tools.
Analyse experiments and observational studies using causal and statistical methods, then communicate insights clearly 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 with practical experience in supervised and unsupervised machine learning models.
Role follows a hybrid working model in India, with on-site presence as agreed with hiring manager.
Experienced in delivering end-to-end analytic solutions with clear business impact in healthcare or related sectors.
Comfortable working cross-functionally with analytics, technology, and business teams, translating technical results for non-technical stakeholders.
Skilled in experimental design and causal inference with familiarity in cloud platforms and data engineering tools.