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Mid-level, popular data scientist role in metro Hyderabad with broad, in-demand marketing analytics skills.
Requires domain-specific marketing science and MMM expertise, reducing transferability across unrelated industries.
Explicit 5–8 year requirement plus mandatory production ML, marketing science, and strong Python/SQL skills.
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Develop and deploy advanced customer segmentation models and Marketing Mix Models (MMM) to optimize media investments and measure marketing effectiveness.
Engineer customer and transaction-level features and build machine learning models for campaign optimization and marketing measurement.
Collaborate with stakeholders and data engineering teams to deliver scalable, production-ready AI-powered analytics solutions and translate insights into business recommendations.
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Economics, or related quantitative field.
5–8 years of relevant experience in Data Science, Customer Analytics, Marketing Analytics, or Marketing Science (for Senior Data Scientist level).
Strong Python development skills with experience in pandas, NumPy, scikit-learn, SQL, and production-grade machine learning.
Proven expertise in customer segmentation (clustering techniques), Marketing Mix Modeling, causal inference, and marketing effectiveness measurement.
Experienced in building and validating customer segmentation models with clustering algorithms and feature engineering targeting marketing applications.
Able to perform causal inference, experimentation, and apply model explainability techniques like SHAP for actionable business insights.
Skilled in working closely with business stakeholders and cross-functional teams to deliver scalable, production-ready data science solutions that impact media planning and marketing ROI.