Data Science Manager - Market Mix Modeling

MathCo; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

MathCo is seeking a Data Science Manager - MMM to lead high-impact analytics engagements and oversee a team of data scientists delivering Marketing Mix Modeling solutions. You will combine econometric modeling expertise with leadership and client management, guiding end-to-end MMM lifecycles from data prep to ROI optimization.

The role requires 8–12 years in analytics, strong Python and SQL, and excellent communication to present insights to executives.

Qualifications

• 8-12 years of experience in advanced analytics or data science with significant MMM experience.
• Proven track record leading cross-functional teams in a data science/analytics function.
• Delivered MMM projects for global clients across industries (CPG, Retail, BFSI, Tech).
• Strong statistical/econometric modeling skills using regression, time series, Bayesian, and hierarchical models.
• Advanced proficiency in Python with SQL experience for data manipulation and extraction.
• Excellent communication and client-facing skills to present insights to executives.

Responsibilities

• Lead, mentor, and manage a team of data scientists to deliver MMM and advanced analytics projects.
• Foster a collaborative, high-performance team culture focused on technical excellence and innovation.
• Provide hands-on technical oversight, ensuring high-quality model development, validation, and actionable output.
• Support career development of team members through coaching and skill-building.
• Act as a strategic advisor to senior client stakeholders and influence data-driven decisions.
• Manage end-to-end client communications, including project scoping, milestones, insights, and relationships.
• Oversee the MMM lifecycle from data prep to modeling, forecasting, and marketing ROI optimization.
• Drive innovation by integrating methods like causal inference and machine learning, with scalable analytics pipelines.

Skills

MMM expertise

Team leadership

Python

SQL

Statistics/Econometrics

Problem solving

Stakeholder communication

Data visualization

Tools

Tableau

Power BI

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.