Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide Together with our customers were helping build a sustainable economy where everyone can prosper We support a wide range of digital payments choices making transactions secure simple smart and accessible Our technology and innovation partnerships and networks combine to deliver a unique set of products and services that help people businesses and governments realize their greatest potential Title and Summary Manager Data Scientist About Mastercard Mastercard is a leading global technology company in the payments industry Our mission is to connect and empower an inclusive digital economy that benefits everyone everywhere by making transactions safe simple smart and accessible Leveraging secure data robust networks strategic partnerships and our commitment to innovation we enable individuals financial institutions governments and businesses to realize their full potential With a presence in over 210 countries and territories we are dedicated to building a sustainable world that unlocks priceless possibilities for all driven by our core value of decency About the Team The Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions As consumer preferences evolve towards digital payments we prioritize delivering a seamless and secure experience The team analyses digital performance metrics identifies factors influencing outcomes and monitors broader industry trends We generate actionable datadriven insights and recommendations collaborate with external stakeholders to implement optimization solutions and work crossfunctionally to ensure alignment and execution Position Manager Data Scientist The Role As part of the Optimization Solutions team the role involves Partner with global cross functional teams to design develop and maintain advanced analytics and data science solutions that drive business impact Build deploy and scale machine learning models that deliver actionable insights for product optimization growth and sales enablement Lead the end to end design and technical oversight of complex data science and ML solutions ensuring scalability performance and engineering excellence Drive the development validation monitoring and continuous improvement of predictive models statistical techniques and algorithms aligned with business objectives Establish and uphold best practices across statistical analysis feature engineering model evaluation and performance monitoring Translate advanced analytics model results and experimental findings into transparent data driven insights for senior business and product stakeholders Design and implement robust data pipelines including ingestion aggregation and processing of largescale high dimensional datasets Research and evaluate emerging AI machine learning and data science technologies to identify innovative opportunities and potential risks Contribute to the development and adoption of frameworks standards and guardrails that ensure responsible compliant and resilient AI solutions Apply appropriate metrics benchmarking and measurement frameworks to assess solution effectiveness and business value All About You Education Experience Strong academic background in Computer Science Data Science Technology Mathematics Statistics or a related fieldor equivalent work experience Experience in data management mining analytics reporting product development and quantitative analysis Technical Skills Proficiency in Python Spark Hadoop platforms Hive Impala Airflow NiFi and SQL Familiarity with machine learning frameworks libraries data structures and software architecture Experience with BI platforms like Tableau or Power BI is a plus Analytical Communication Skills Strong analytical skills with a proven ability to translate data into compelling insights Experience interacting with stakeholders to understand technical needs and deliver effective solutions Ability to articulate the business value of products and contribute to sales enablement Work Style Comfortable working in a fastpaced deadlinedriven environment Effective as both a team player and an individual contributor Corporate Security Responsibility All activities involving access to Mastercard assets information and networks comes with an inherent risk to the organization and therefore it is expected that every person working for or on behalf of Mastercard is responsible for information security and must Abide by Mastercards security policies and practices Ensure the confidentiality and integrity of the information being accessed Report any suspected information security violation or breach and Complete all periodic mandatory security trainings in Our Pu

📌 Manager Data Scientist (Gurugram)
🏢 Mastercard
📍 Gurugram