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

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.

Internal Use Only

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.