Associate Manager- Data Scientist

Job Description:

Key Responsibilities

Marketing Mix Modeling & Measurement

• Build maintain and enhance MMM frameworks across digital offline retail and trade channels
• Develop econometric models to quantify media effectiveness incrementality halo effects and ROI
• Design approaches for granular optimization across geography channel SKU audience and funnel stage
• Evaluate short-term vs long-term media impact saturation adstock carryover and diminishing returns
• Support budget allocation and scenario planning using optimization techniques

Advanced Marketing Analytics

• Build attribution propensity segmentation pricing and forecasting models
• Develop KPI frameworks across brand performance commerce and retail execution ecosystems
• Support analytics for launch planning product-market fit and customer lifecycle optimization

AI-Enabled Analytics & Automation

• Leverage modern AI/LLM tools to accelerate insight generation code development QA documentation and storytelling
• Build reusable analytics pipelines and modular modeling frameworks
• Explore applications of GenAI agents for automated reporting scenario generation simulation and insight synthesis
• Work with cloud and modern data stack tools to improve scalability and speed-to-insight

Stakeholder Management & Storytelling

• Translate analytical outputs into clear business narratives and strategic recommendations
• Collaborate cross-functionally with consulting media engineering and business stakeholders
• Create impactful visualizations and executive-ready presentations

Required Qualifications

• Bachelors / Masters degree in Statistics Economics Mathematics Engineering Computer Science Data Science or related quantitative field
• 2-5 years of experience in marketing analytics econometrics commercial analytics or applied data science
• Hands-on experience building or supporting MMMs and marketing effectiveness studies
• Strong understanding of statistical modeling and machine learning concepts

Technical Skills

Core Analytics

• Regression modeling time-series analysis forecasting optimization clustering
• Causal inference experimentation Bayesian methods hypothesis testing
• Understanding of media metrics marketing funnels and commercial KPIs

Programming & Tools

• Strong proficiency in Python / R
• SQL proficiency for large-scale data manipulation
• Experience with libraries/frameworks such as: PyMC Stan statsmodels scikit-learn TensorFlow/PyTorch
• Familiarity with cloud ecosystems such as AWS GCP or Azure
• Experience using BI and visualization tools such as Power BI Tableau Looker or Streamlit

Modern AI & Workflow Tooling

• Familiarity with LLM-assisted workflows AI copilots and modern analytics automation tools
• Understanding of retrieval-augmented systems prompt engineering and AI-assisted coding workflows is a plus
• Experience building scalable and reusable analytics workflows is preferred

What Were Looking For

• Strong problem-solving and structured thinking ability
• Ability to balance analytical rigor with business practicality
• Curiosity around how AI is transforming analytics and consulting workflows
• Strong communication and storytelling skills
• Ability to work in fast-paced ambiguous environments

Preferred Experience

Candidates with experience in any of the following will have an advantage:

• FMCG / Retail / Consumer Goods analytics
• Media effectiveness and budget optimization
• Retail execution analytics and demand forecasting
• Multi-touch attribution and customer analytics
• Consulting or client-facing analytics environments
• Building analytics products accelerators or internal tools

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