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Job description
Location: Gurgaon, India Department: Data Science
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper.
As a Manager – Data Scientist in the Optimization Solutions team, you will partner with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact.
Key responsibilities:
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 clear, data-driven insights for senior business and product stakeholders.
Design and implement robust data pipelines, including ingestion, aggregation, and processing of large-scale, high-dimensional datasets.
Research and evaluate emerging AI, machine learning, and data science technologies to identify innovative opportunities and potential risks.
Requirements:
Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field,or equivalent work experience.
Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
Familiarity with machine learning frameworks, libraries, data structures, and software architecture.
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.
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Questions you may be asked
What is the difference between mutable and immutable types in Python?
What is the difference between a list and a tuple?
