Manager Data Scientist MMM

We are seeking a highly skilled and experienced Manager Data Scientist with expertise in Media Mix Modeling (MMM) to lead advanced analytics initiatives and drive data-driven marketing effectiveness strategies. The ideal candidate will combine strong technical expertise with leadership capabilities to manage projects mentor teams and partner with business stakeholders to deliver actionable insights that optimize marketing investments across channels.

Key Responsibilities:

• Lead the development and implementation of Media Mix Models to optimize marketing spend across various channels (e.g. TV digital radio print social etc.).
• Manage end-to-end analytics projects including problem definition data acquisition modeling validation and business recommendations.
• Partner with marketing finance and business leadership teams to align analytical solutions with strategic business objectives.
• Build and oversee predictive and forecasting models to evaluate future marketing scenarios and guide budget allocation decisions.
• Mentor and guide junior data scientists and analysts by providing technical leadership code reviews and best practices in analytics and modeling.
• Present analytical findings recommendations and business impact clearly to senior stakeholders and executive leadership.
• Drive deep-dive analyses on campaign performance customer behavior and media effectiveness to identify optimization opportunities.
• Ensure accuracy consistency and integrity of data models and analytical outputs across projects.
• Collaborate with cross-functional teams including Data Engineering BI Marketing Product and external partners to ensure seamless execution of analytics initiatives.
• Establish scalable MMM frameworks methodologies and governance standards across the organization.
• Stay updated on emerging trends in marketing analytics causal inference econometrics machine learning and MMM methodologies.
• Create and maintain comprehensive documentation for models processes methodologies and business assumptions.

Qualifications :

• Bachelors or Masters degree in Data Science Statistics Economics Mathematics Computer Science or a related quantitative field.
• Proven experience (8 years) in Media Mix Modeling (MMM) marketing analytics or advanced statistical modeling.
• Strong expertise in statistical techniques such as regression analysis time-series modeling econometrics and forecasting.
• Hands-on experience with Python R SQL and data visualization tools such as Tableau or Power BI.
• Experience leading analytics projects and mentoring or managing teams in a fast-paced environment.
• Strong understanding of marketing and media data sources (e.g. Nielsen IRI CRM digital media platforms social media data etc.).
• Ability to translate complex analytical outputs into strategic business recommendations for senior stakeholders.
• Excellent stakeholder management communication and presentation skills.
• Strong problem-solving mindset with the ability to manage multiple priorities and deliver high-impact solutions.
• Familiarity with machine learning techniques and experimentation frameworks is an added advantage.

Additional Information :

Preferred Qualifications:

• Experience working with large-scale datasets and cloud platforms such as AWS Azure or Google Cloud.
• Knowledge of causal inference frameworks marketing attribution customer segmentation and lifetime value (LTV) analysis.
• Experience designing and evaluating A/B tests and controlled experiments.
• Prior experience in consulting marketing analytics or agency environments.
• Exposure to team management project planning and client-facing engagements.
• Experience working in global or cross-functional delivery models.

Remote Work :

No

Employment Type :

Full-time