Senior Data Scientist

Senior Data Scientist

FMCG sector

Location - Bengaluru (onsite)

Notice Period - able to join within 15 to 20 days

Key tasks & accountabilities

• Develop, 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, Skills

Previous work experience

• 5+ years

  of hands-on experience in data science, preferably within the

  FMCG

  or retail domain (good to have)

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.
• Strong 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.