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Mid-level generalist data scientist in Bangalore with common skillset and broad responsibilities increases applicant competition.
Statistical modeling, Python/R, and analytics skills transfer easily across industries, lowering background sensitivity.
Explicit 3+ years requirement plus mandatory statistical modeling and Python/R skills impose moderate filtering.
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Lead advanced analytics projects focusing on statistical modeling methods including regression, churn modeling, and market basket analysis to optimize promotional spend and business outcomes.
Manage end-to-end project workflows including data preparation, analysis design, and implementation for business insights.
Collaborate with strategic and descriptive analytics teams and internal stakeholders to influence promotional effectiveness and conduct program ROI assessments.
Bachelor’s Degree in quantitative or management field (Master’s preferred).
Minimum 3+ years experience in Data Science or Commercial Effectiveness.
Expertise in statistical modeling techniques such as A/B testing, regression, clustering, classification, decision trees, and forecasting.
Proficiency in Python, R, and advanced Excel.
Experienced in applying advanced analytics to commercial effectiveness and promotional optimization projects in a corporate strategy setting.
Skilled in collaborative work with cross-functional teams and internal clients to provide actionable insights based on data.
Familiarity with additional tools like Tableau, SQL, Azure ML, GitHub, and strong communication skills with project management experience for multi-functional initiatives.