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: Marketing Attribution Analyst (Data scientist)
Description Role Overview
The Marketing Attribution & Revenue Analyst is a highly analytical, data science-focused role responsible for connecting marketing efforts to measurable business outcomes such as pipeline, revenue, and deal influence. This role goes beyond reporting to develop advanced attribution models, predictive insights, and revenue analytics frameworks, bridging marketing and sales. You will integrate data from CRM, marketing automation systems, and data warehouses to deliver executive-level insights on marketing’s impact.
Key Responsibilities
Design, build, and maintain multi-touch attribution models (rule-based and algorithmic)
Develop advanced data science models to measure marketing’s impact on: Pipeline creation, Revenue contribution, Deal velocity and conversion rates
Integrate and unify data from multiple sources: CRM (Salesforce, Dynamics, etc.), Marketing automation platforms, Product/usage data, Data warehouses (Snowflake, BigQuery, etc.)
Perform advanced statistical analysis to identify drivers of marketing effectiveness & develop market mix models
Build predictive models (e.g., lead scoring, conversion propensity, customer lifetime value)
Deliver executive-level reporting and narratives linking marketing activities to revenue outcomes
Evaluate and improve incrementality measurement approaches
Lead experimentation and causal inference efforts (e.g., uplift modeling, MMM, A/B testing)
Key Skills
Strong proficiency in Python & SQL for data analysis, modeling, and automation
Experience with statistical modeling and machine learning techniques: Regression models, Classification models, Time-series analysis, Attribution modeling (Shapley etc.)
Expertise in data wrangling and feature engineering
Strong knowledge of marketing funnel metrics and revenue operations
Ability to translate complex models into business insights and executive storytelling
Qualifications
10+ years of experience in marketing analytics, data science
Proven experience building attribution models and revenue measurement frameworks
Hands-on experience with CRM and marketing data ecosystems 

Qualifications

Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science

Certifications

Data Science Using R - SimpliLearnSimpliLearn

Required Skills

Adaptive Technology, Agile Methodology, Artificial Intelligence (AI), Automated Machine Learning (AutoML), Client Relations, Continuous Delivery, Data Validation, Design Thinking, Executive Presence, Machine Learning Model Management, Model Validation, People Leadership, Statistical Models, Storytelling

Language

English (Required)

Language Proficiency -

Proficient - C2

Additional Job Location -

Job Type

Regular

Master Skill List -

Advanced Analytics / AI / ML

Remote Type -

Hybrid

Work Shift -

Flex Time (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.