Data Science Manager- Market Mix Modelling

Designation : Data Science Manager – Market Mix Modelling

About Us

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decisionmaking. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).

At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to ‘Leave a Mark‘.

Job Description

We are seeking a Data Science Manager – MMM to lead high-impact analytics engagements and oversee a team of data scientists delivering cutting-edge Marketing Mix Modeling (MMM) solutions. This role combines technical excellence in econometric modeling and advanced analytics with strong leadership and client management capabilities.

Key Responsibilities

• Lead, mentor, and manage a team of data scientists to deliver high-impact MMM and advanced analytics projects.
• Foster a collaborative, high-performance team culture focused on technical excellence, innovation, and continuous learning.
• Provide hands-on technical oversight, ensuring high-quality model development, validation, and actionable output.
• Support career development of team members through regular coaching, performance feedback, and skill-building opportunities.
• Act as a strategic advisor to senior client stakeholders, articulating the value of MMM and influencing data-driven decisions.
• Manage end-to-end client communications, including project scoping, milestone planning, insights delivery, and relationship growth.
• Oversee the complete MMM lifecycle—from data preparation to modeling, forecasting, and marketing ROI optimization.
• Drive innovation by integrating advanced methods such as causal inference and machine learning, while ensuring scalable, automated analytics pipelines.

Required Skills and Experience :