Senior Data Scientist (AI, ML, Pyspark, SQL)
Mastercard · Posted Oct 29
Global technology company connecting consumers, financial institutions, merchants, and businesses through secure payment processing and digital commerce solutions
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About the role
The Business & Market Insights (B&MI) team within Mastercard's Services division builds products that help financial institutions and merchants better understand their customers and the market. The B&MI Data Science team uses Mastercard transaction data and other sources to build globally scalable models and solutions across the customer lifecycle. This role works across Product, Client Services & Delivery, Data & Engineering to deliver analytics- and AI-driven products, from concept and technical design through market release and optimization.
What you will do
- Drive the evolution of Business & Market Insights products by applying Data Science and Artificial Intelligence to create models, tools and capabilities
- Participate in the exploration, application and development of data science for product development
- Participate in identification and evaluation of AI/ML techniques and tools to deliver models and analytics for product development
- Continuously innovate and determine new data science approaches & technologies to solve business problems and generate business insights & recommendations
- Partner with roles across the organization including product, engineering, and sales to determine the highest priority data science problems to solve in a customer-centric framework
- Evaluate trade-offs between many possible analytics solutions to a problem, taking into account performance, usability, technical feasibility, timelines, and differing stakeholder opinions to make a decision
- Break large solutions into smaller, releasable milestones to collect data and feedback from product managers, clients and other stakeholders
- Evangelize releases to users, incorporating feedback, and tracking usage to inform future development
- Work with small, cross-functional teams to define vision, establish team culture and processes
- Consistently focus on key drivers of organization value and prioritize operational activities accordingly
- Identify and act upon product improvement opportunities
- Provide technical leadership of junior colleagues as a senior member of the data science team, through technical and non-technical mentoring
Skills used in this role
What the employer is looking for
- 5-9 years of overall career experience in Data Science function supporting Products
- Design, develop, and productionize machine learning and data science solutions that solve complex business problems within BMI.
- Develop traditional ML solutions covering feature engineering, model training, validation, evaluation, and deployment.
- Perform exploratory data analysis and translate complex datasets into actionable insights.
- Optimize data pipelines and ML workflows for performance, scalability, maintainability, and reliability.
- Develop robust and reusable Python components following sound software-engineering practices.
- Use PySpark to process, transform, and analyze large datasets efficiently in distributed environments.
- Write advanced, optimized SQL for data extraction, transformation, feature development, and analytical workloads.
- Apply appropriate controls for data privacy, security, responsible AI, monitoring, and explainability.
Preferred qualifications
- Understanding of building Generative AI applications using Python and modern GenAI frameworks.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Mastercard
Mastercard is a global technology company in the payments industry that connects consumers, financial institutions, merchants, governments, and businesses worldwide. It operates a fast and secure payment processing network that spans more than 200 countries and territories. Through innovative products and solutions in credit, debit, digital assets, and security, Mastercard makes commerce safer, simpler, and more accessible.
- Industry
- Payments
- Company size
- 10001+ employees
- Founded
- 1966
- Location
- Purchase, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $115M raised
Leadership
Chief Executive Officer
Chief Business Officer
President & Chief Technology Officer
Chief People Officer
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