Data Science Manager – Market Mix Modelling

About the job

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 decision making. 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: · 8–12 years of experience in advanced analytics or data science, with significant hands-on expertise in Marketing Mix Modeling. · Demonstrated experience leading cross-functional teams and managing direct reports in a data science/analytics function. · Proven track record of delivering MMM projects for global clients across industries (e.g., CPG, Retail, BFSI, Tech). · Strong statistical/econometric modeling skills using regression, time series, Bayesian, and hierarchical models. · Advanced proficiency in Python with solid experience in SQL for data manipulation and extraction. · Exceptional problem-solving abilities and experience working with large, complex datasets from multiple sources. · Excellent communication and client-facing skills, with the ability to present complex insights to executive stakeholders and influence decision-making. · Familiarity with data visualization tools (e.g., Tableau, Power BI) and experience building client-ready dashboards is a plus.

Requirements

• Team leadership
• Econometric modeling
• Advanced analytics
• Client management
• Python
• SQL
• Data visualization

Preferred Technologies

• Team leadership
• Econometric modeling
• Advanced analytics
• Client management
• Python
• SQL
• Data visualization

About the company

TheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision making. 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'.