Data Scientist, Assistant Manager

Ready to build the future with AI
At Genpact, we don't just keep up with technology-we set the pace. 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, 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 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

Role: Data Scientist, Assistant Manager
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
Lead AI-first transformation - Build and scale AI solutions that redefine industries
Make an impact - Drive change for global enterprises and solve business challenges that matter
Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build
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
Why join Genpact
.Lead AI-first transformation - Build and scale AI solutions that redefine industries
.Make an impact - Drive change for global enterprises and solve business challenges that matter
.Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
.Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
.Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build
.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 %27starter kit,%27 paying to apply, or purchasing equipment or training.