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 collaborative 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 environments.

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📌 Data Science (Bengaluru)
🏢 Digitide
📍 Bengaluru