Data Scientist - MMM

This role is for one of Weekday’s clients
Min Experience: 6 years
Location: Bengaluru
JobType: full-time

Requirements

We are seeking a highly skilled and experienced Data Scientist – Market Mix Modeling (MMM) to join our analytics team. This role is ideal for someone who thrives on solving complex business problems through data, modeling, and statistical insights. You will be responsible for designing, developing, and deploying robust MMM solutions to help our clients or internal stakeholders optimize marketing spend, improve ROI, and enhance performance forecasting.

The ideal candidate will have strong command over statistical modeling, a deep understanding of the marketing ecosystem, and the technical acumen to build both short-term and long-term models using Python and SQL.

Key Responsibilities:

• MMM Model Development:
  Build and maintain robust short-term and long-term Market Mix Models to analyze the impact of marketing activities across various media channels and drive strategic marketing decisions.
• Data Processing & Exploration:
  Collect, clean, and analyze large datasets using Python and SQL to ensure the accuracy and quality of the data pipeline and inputs to the models.
• Statistical Modeling & Analysis:
  Apply advanced statistical techniques (e.g., regression analysis, time series analysis, hierarchical models) to identify key drivers of performance and quantify the effectiveness of marketing investments.
• Budget & Media Optimization:
  Utilize optimization techniques to simulate various marketing scenarios and recommend optimal media spend allocation strategies across channels, based on business KPIs.
• Model Diagnostics & Reporting:
  Perform thorough model diagnostics, validate assumptions, and interpret model outputs to generate actionable and meaningful insights. Present findings clearly to both technical and non-technical stakeholders.
• Cross-Functional Collaboration:
  Work closely with marketing, finance, media planning, and leadership teams to align on goals, KPIs, and ensure model insights are implemented in strategic planning processes.
• Continuous Improvement:
  Stay current on emerging MMM methodologies, marketing analytics trends, and statistical best practices to continuously evolve the modeling framework and tools.

Key Skills & Requirements:

• 6–8 years of hands-on experience in Market Mix Modeling (MMM).
• Strong expertise in Python for data manipulation, modeling, and visualization.
• Proficiency in SQL for querying and data integration.
• Solid understanding of statistical modeling techniques, including regression, time series, and multicollinearity diagnostics.
• Experience building both short-term and long-term MMM models.
• Practical experience in media mix optimization and marketing budget planning.
• Familiarity with various media channels (TV, digital, print, etc.), campaign planning processes, and how marketing tactics translate to business outcomes.
• Strong communication skills with the ability to translate data findings into strategic recommendations.
• Detail-oriented mindset with excellent problem-solving and analytical skills.

Nice to Have:

• Experience working with marketing teams or in advertising/media agencies.
• Knowledge of machine learning techniques and data visualization libraries like Matplotlib, Seaborn, Plotly, etc.
• Familiarity with BI tools like Tableau or Power BI.