Senior Data Scientist

We are looking for a Senior Data Scientist who is a hands-on individual contributor and willing to continue in a technical, delivery-focused role. This is not a managerial track, but a high-impact, strategic role that blends deep technical expertise with business problem-solving.You will be part of a high-performing analytics team in the FMCG sector , working on a Resource Allocation Model that shapes marketing and media investment decisions, directly impacting sales, consumer engagement, and brand performance.Location - Bengaluru (onsite)Notice Period - able to join within 15 to 20 daysKey tasks & accountabilitiesDevelop, validate, and scale Resource Allocation Model to quantify the impact of Sales & Marketing packages on sales and brand performance.Implement optimization algorithms to inform budget allocation and maximize marketing ROI across geographies and product portfolios.Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams.Leverage PySpark to manage and transform large-scale retail, media, and consumer datasets.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, SkillsPrevious work experience5+ years of hands-on experience in data science, preferably within the FMCG or retail domain (good to have)Skills requiredProven 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.Strong grounding in statistics, experimental design (A / B testing), and causal inference.Preferred Skills requiredExperience 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.