Senior Manager/Senior Data Scientist

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Senior Manager/Senior Data Scientist
The Sr. Data Scientist will support the Membership, Digital Analytics & Data Science 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. In addition, this position will also support growing our digital business and operations teams

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
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
Develop automation jobs after constructing new pipeline modules to automate recurring tasks, including monthly campaigns, monthly model refreshes, etc
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 / Skills
BSc in Computer Science, engineering (or related area), Statistics, Mathematics, or equivalent experience
Preferred Qualifications/ Skills
Relevant years of experience in algorithms, data structures, and object-oriented programming
Relevant years of experience in developing machine learning models for retail use cases
Relevant years of 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 stakeholder
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 diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.
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.