Senior Manager Data Science Engineering Manager

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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 Manager/ Senior Manager Data Science Engineering Manager
The Data Science Engineering Manager will support the Membership, Digital Analytics Data Science pillar of the Enterprise Analytics Team. The role is responsible for leading our offshore data science engineering team, which operates, builds, and maintains BJ s machine-learning-based systems, tools, and services. Reporting directly to the Director of Data Science, we are looking for candidates who will help build and manage the environment, data, pipelines to support the most exciting analytics problems across the company

Responsibilities
Lead and oversee the offshore team, ensuring they stay engaged, meet deadlines, and deliver valuable work for BJ s. Manage the team handling the execution, data engineering, software development, and machine learning operations for BJ s data science solutions, including:
o Acquisition products
o Personalization products
o Voice of the member
o New Products
Hands-on technical leadership, guiding the team in building, operating, and maintaining data science solutions
Proactively recommend optimization opportunities across products
Proactively drive team performance by identifying areas for improvement and encouraging automation and optimization in all processes
Foster a high-performance culture, ensuring the team is continuously developing and working on meaningful tasks
Monitor team workload and productivity, ensuring that every team member is fully utilized and delivering impactful results
Approve code changes and be hands-on in developing new features, ensuring the team adheres to best practices in coding and development
Identify and implement process improvements, always seeking out opportunities to automate and optimize workflows to enhance efficiency
Partner with internal BJ s team to develop sprints utilizing agile principles that fully utilize engineering team

Qualifications we seek in you
Minimum Qualifications / Skills
BSc in Computer Science, engineering (or related area), or equivalent experience

Preferred Qualifications/ Skills
Relevant years of experience in algorithms, data structures, and object-oriented programming
Experience in optimizing deployment pipelines for CI/CD tools (such as Jenkins)
Experience in producing and leading the team to build a clean, maintainable, and thoroughly documented codebase by adhering to best software engineering practices
Understanding of data science use cases for retail, namely in the marketing, digital and operations space
Experience with building and project managing data science solutions, including but not limited to ETL, ML models, ML Ops frameworks and delivery mechanisms
Proven ability to retrieve and manipulate data from various APIs
Extract actionable insights from complex datasets using data mining, statistics, and database techniques to measure/understand/improve member acquisition/engagement KPIs
Expertise in maintaining and organizing large datasets with text-based information, including cleaning, structuring, and updating tables in databases such as SQL, NoSQL, or cloud storage solutions for efficient querying and analysis
Strong programming skills in at least one object-oriented programming language (Python, SQL, Java)
Experience with cluster-computing frameworks (e.g. Spark, Hadoop)
Experience configuring executing large, complex data pipelines with AWS/GCP/Azure technology stack (including distributed computing)
Management/team lead experience, experience working with global and remote teams
Experience guiding teams in addressing the technical and delivery challenges
Implementation experience in building machine learning algorithms and applications, deploying and maintaining NLP models
Eager to learn new algorithms, new application areas and new tools
Understanding of data science automation tool (e.g Sagemaker, Databricks, etc.)
Excellent communication skills, with the ability to provide detailed reports on team performance and collaborate effectively with stakeholders
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.