Lead Data Scientist
Ready to turn bold ideas into real-world impact?
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies’ most complex challenges.
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.
Job Description
Role Overview
Seeking a Senior Manager to lead Marketing Data Science engagements for CPG, Retail, and General Merchandise clients. This role combines strategic consulting, people leadership, marketing analytics, and AI innovation to deliver measurable business impact.
Key Responsibilities
- Lead and develop multiple teams comprising Data Science Managers, Data Scientists, and Analysts (~15+ resources),
- Manage resource planning, team utilization, and Agile delivery processes.
- Ensure effective allocation of team members to Jira stories, sprint commitments, and project priorities.
- Partner with Product, Research, and business stakeholders to solve complex business problems using data and analytics.
- Lead campaign measurement, marketing effectiveness, attribution, incrementality, and ROI initiatives.
- Drive assortment, pricing, promotion, shopper, and demand forecasting analytics.
- Present insights and recommendations to client and executive leadership teams.
- Recruit, mentor, and retain high-performing analytics talent.
- Champion adoption of AI-powered tools such as Cursor AI, GitHub Copilot, and other GenAI solutions.
- Identify opportunities to incorporate Agentic AI capabilities into existing and future analytics solutions.
Required Qualifications
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related quantitative field; Master's preferred.
- More than 10 years of experience in Data Science, Decision Science, Marketing Analytics, or related fields
- More than 5 years of team leadership experience.
- Advanced proficiency in SQL, Python, and R.
- Experience with large-scale datasets and platforms such as Spark, Hive, or cloud environments.
- Strong consulting and stakeholder management experience.
Preferred Experience
· Experience supporting CPG, Retail, General Merchandise, Consumer Goods, or eCommerce clients.· Strong understanding of retail media, shopper analytics, and marketing measurement.
Domain Expertise
- Marketing ROI & Incrementality Measurement
- Causal Inference & Experimentation
- Marketing Mix Modeling (MMM)
- Assortment Optimization
- Pricing & Promotion Analytics
- Demand Forecasting
Key Competencies
- Strategic Leadership
- Client Management
- Agile Delivery
- Jira Work Management
- Marketing Analytics
- Causal Inference
- Team Development
- AI & Agentic AI Innovation
- Executive Communication
- Cross-Functional Collaboration
Ideal Candidate: A hands-on data science leader with deep expertise in marketing analytics, causal inference, and retail/CPG data who can lead teams, drive client outcomes, ensure disciplined Agile delivery, and accelerate adoption of Generative AI and Agentic AI solutions.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Data Science Using R - SimpliLearnSimpliLearn
Required Skills
Advanced SQL, Advanced SQL, Agile Methodology, Apache Hive, Business Statistics, Consumer Packaged Goods (CPG), CPG Industry, Data Science, Decision Sciences, Google Cloud Platform, Hive Query Language, Leadership, MySQL, Oracle SQL, PySpark, Python (Programming Language), Python Automation, Python for Data Analysis, Python Frameworks, Python Matplotlib, Python Numpy, Retail Industry, R-Studio, Spark ML, SQL Databases {+ 3 more}
Language
English
Language Proficiency -
Proficient - C2
Additional Job Location -
Job Type
Regular
Master Skill List -
Advanced Analytics / AI / ML
Remote Type -
Hybrid
Work Shift -
Day Job (India)
Why join Genpact?
- Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
- Make an impact – Help global enterprises solve business challenges that matter
- Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
- Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day
- Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Let’s build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.
