Data Science Data Science Senior Data Scientist
1 day ago
Develop, validate, and scale Resource Allocation Model to quantify the impact of Sales & Marketing packages on sales and brand performance.
Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.
Build and deploy ML models using Python and TensorFlow , ensuring robust model performance and business relevance.
Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions.
Use GitHub Actions for version control, CI/CD workflows , DVC for data versioning , and reproducible ML pipelines.
Present findings through compelling data storytelling and dashboards for senior leadership.
Mentor junior data scientists and contribute to a culture of innovation and excellence.
Qualifications, Experience, Skills
Previous work experience
~5+ years of hands-on experience in data science, preferably within the FMCG or retail domain (good to have)
Proven track record of building and deploying Marketing Mix Models and/or media attribution models.
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.
Strong grounding in statistics, experimental design (A/B testing), and causal inference.
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).
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