Senior Data Scientist

1 week ago

Bengaluru, Karnataka, India Digitide Full time ₹ 8,00,000 - ₹ 20,00,000 per year

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 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.

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