Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook

We are looking for a detail-oriented Data Scientist, Assistant Manager

to support Promo Model operations with high accuracy and timeliness for a Major US retailer. The role will be pivotal in model change requests, maintaining promo data, and driving actionable insights for Promo strategy through structured reporting and soft research. The ideal candidate is analytical, proficient in Tableau and SQL, and capable of independently executing margin and promotion impact analysis

Responsibilities

Under the direct supervision of internal Data Science managers, formulate solutions to problems related to membership acquisition, retention and engagement as well as digital and operations

Be able to independently frame business problems and decompose their constituent parts to determine proper data science solutioning

Build machine learning models and use applied statistics (supervised/unsupervised learning, lift modeling, linear/nonlinear programming, feature selection) to support the business

Enhance existing and build new technology solutions in support of business priorities

Use proper statistical techniques to provide ad hoc data science/EDA support when needed

Be a thought partner in the creation of our testing plans and provide “next level” insights related to the measurement of tests

Certify all testing/measurement (hypothesis testing, A/B testing, design of experiment, sample size/power calculation)

Communicate complex data science concepts/insights to non-technical audiences

Participate in agile work planning—projects will be selected from use cases across the enterprise

Drive continuous improvement by evaluating and implementing new data science methodologies, tools, and frameworks.

Qualifications we seek in you!

Minimum Qualifications

BSc in Computer Science, engineering (or related area), Statistics, Mathematics, or equivalent experience

Experience in developing machine learning models for retail use cases

Experience in crafting ad hoc data mining analysis for retail use cases

Experience in algorithms, data structures, and object-oriented programming

Experience on engineering and development collaboration tool such as Jira/Confluence/Git

Experience in mentoring and delegating work to junior analysts, involves providing essential business context, offering guidance on bug fixes, and conducting thorough reviews of their work

Implementation experience in building machine learning algorithms and applications, deploying and maintaining NLP models for retail use cases

Experience in time-series forecasting, clustering algorithms, and dimensionality reduction techniques

Strong programming skills in at least one object-oriented programming language (Python, PySpark, SQL, Java)

Experience with cluster-computing frameworks (e.g. Spark, Hadoop)

Expertise in configuring and managing large, complex data pipelines using AWS services (e.g., Glue, SageMaker, Lambda), with experience in GCP/Azure as a plus

Eager to learn new algorithms, new application areas and new tools

Experience with engineering and development collaboration tool such as GIT/Jira/Confluence

Experience using pipeline and automation tool including Jenkins and SageMaker

Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs

Excellent communication and collaboration skills, working effectively across teams and stakeholders

Why join Genpact?

• Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation

• Make an impact – Drive change for global enterprises and solve business challenges that matter

• Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities

• 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 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.