Skills required
Proven track record of building and deploying Marketing Mix Models and/or media attribution models.
Deep knowledge of optimization techniques (e.g., linear programming, genetic algorithms, constrained optimization).
Advanced programming skills in Python (pandas, scikit-learn, statsmodels, TensorFlow).
Expertise in PySpark for distributed data processing and transformation.
Experience with Git and GitHub Actions for cooperative development and CI/CD pipelines.
Robust grounding in statistics, experimental design (A/B testing), and causal inference.

Preferred Skills required
Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads).
Exposure to cloud platforms like AWS, GCP, or Azure.
Familiarity with FMCG metrics (e.g., brand health, share of shelf, volume uplift, promotional ROI).
Ability to translate complex models into business actions in cross-functional settings.

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📌 Data Science Bengaluru
🏢 Digitide
📍 Bengaluru