Associate Data Scientist
22 hours ago
, IndiaJob Family Group:Research and DevelopmentWorker Type:RegularPosting Start Date:November 24, 2025Business unit:FinanceExperience Level: Early CareersJob Description: Associate Data Scientist (MMM)What's the role3+ 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 themSelect 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.What we need from youGood 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 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 modelsBayesian modelling (e.g., Bayesian MMM)Structural equation modeling (SEM)Regularized Regression techniquesAbility to explain complex ML models and analytical concepts in simple terms to business stakeholders.Good storytelling and presentation skills to effectively communicate insights and influence decisions.Collaborate effectively with stakeholders, including line managers and cross-functional teams, to accelerate project delivery and ensure alignment with expectations.-DISCLAIMER:Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.
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