Promo tool - decision science support , Manager

Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook

Inviting applications for the role of Promo tool - decision science support Manager

Data Scientist Promotion Analytics will support the Store Operations pillar of the Enterprise Analytics Team. Reporting directly to the internal team of data science managers we are looking for candidates who understand the foundational aspect of Data Science and will apply Data Science principles and technology to improve member acquisition engagement and retention.

Responsibilities(include but are not limited to):

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 planningprojects 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 algorithms data structures and object-oriented programming
Experience in developing machine learning models for retail use cases
Experience in crafting ad hoc data mining analysis for retail use cases
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 careerGain 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 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.