Lead Data Scientist - Pharma,Retail,BFSI,CPG background

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

Job summary

Tejoma, based in Bengaluru, seeks a Lead Data Scientist to head an analytics team delivering Marketing Mix Modeling and advanced analytics for global clients. The role requires steering end-to-end MMM projects, guiding model development, and communicating insights with senior stakeholders.

You will drive innovation with causal inference and ML methods, build scalable pipelines, and mentor team members to achieve technical excellence and business impact.

Qualifications

• 8–12 years of experience in advanced analytics or data science with significant MMM expertise.
• Proven leadership of cross-functional teams with direct reports in a data science/analytics function.
• Demonstrated track record of delivering MMM projects for global clients across industries.
• 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.
• Excellent communication and client-facing skills to present complex insights to executives.

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.

Skills

Marketing Mix Modeling

Team Leadership

MMM Project Delivery

Regression Modeling

Time Series

Bayesian Methods

Python

SQL

Data Visualization (Tableau/Power BI)

Tools

Python

SQL

Tableau

Power BI

Job description

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 lifecyclefrom 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.

We are seeking a Lead Data Scientist.

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.
• 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.