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prescience decision solutions (a movate company)

Data Scientist - MMM

prescience decision solutions (a movate company)
Bengaluru, India
4-6 Years
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Job Description

  • 4+ years of relevant MMM experience (Practical 2+ years experience in long-term marketing mix modelling)
  • Build long-term Marketing Mix Models (MMM) using advanced tools tailored to specific business challenges.
  • Identifies the right set of models suitable for long-term MMM modeling and develops the right code/package to execute them.
  • Select appropriate modeling techniques and develop custom code/packages to implement them effectively.
  • Lead data preparation, exploratory analysis, and iterative modeling processes specific to long-term MMM.
  • Deliver actionable insights on how brand media impacts long-term brand equity, sales, and margins.
  • Evaluate the scientific rigor and business relevance of complex long-term Marketing Mix Models (MMM).
  • Possess a deep understanding of existing MMM frameworks and demonstrate the ability to leverage short-term MMM models into building long-term MMM models.
  • Engage with Shell stakeholders and line managers to ensure timely and quality project delivery.
  • Strong proficiency in Python, SQL, Git, Databricks, and understanding of object-oriented programming principles.

    • Requirements

  • Good knowledge of Marketing domain, ATL/BTL marketing and clear understanding of concepts like adstock/carryover, saturation, etc.
  • Proven experience in building MMM models to capture the long-term impact of Marketing on Sales and Brand Equity is a must.
  • Strong programming skills in Python and SQL.
  • Good to have:
    • Understanding of data engineering concepts, including data pipelines, ETL processes, object-oriented programming, and general software engineering principles to build scalable and reusable analytical products.
  • Understands the life cycle of a generic data science project (from problem statement to model deployment).
  • Exposure to causal inference is a plus.
  • Hands-on experience with at least 2 MMM techniques below:
    • Mixed-effects models (random and fixed effects)
    • Hierarchical linear models
    • Bayesian modelling (e.g., Bayesian MMM)
    • Structural equation modeling (SEM)
    • Regularized Regression techniques
  • Ability to explain complex ML models and analytical concepts in simple terms to business stakeholders.
  • Good storytelling and presentation skills to communicate insights effectively and influence decisions.
  • Collaborate effectively with stakeholders, including line managers and cross-functional teams, to accelerate project delivery and ensure alignment with expectations.

    • Benefits

    • Competitive salary and performance-based bonuses.
    • Comprehensive insurance plans.
    • Collaborative and supportive work environment.
    • Chance to learn and grow with a talented team.
    • A positive and fun work environment.




    More Info

    Job Type:
    Permanent Job
    Industry:
    Other
    Function:
    Marketing
    Employment Type:
    Full time

    Job ID: 151136745

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    Last Updated: 13-07-2026 05:34:46 PM
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