Senior Data Scientist
About The Position
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. 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. Our International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward Mastercard’s ambitious, data-driven open banking solutions, through the skillful application of data science and a highly customer centric focus. The ideal candidate is motivated, intellectually curious, technically excellent, a great communicator and someone who will enjoy helping us build out our data science team and capabilities.
Requirements
- An undergraduate degree or higher in Computer Science, Data Science, Econometrics, Mathematics, Statistics, or similar field of study.
- Multi-project, hands-on experience of the end-to-end data science process in relation to large, complex data. From problem framing to results communication and solution deployment, you will be able to demonstrate having played a key part in a range of successfully delivered projects.
- Real world experience of developing and deploying interactive dashboards based on Plotly’s Dash framework.
- Workplace Python coding experience, including a good knowledge of the principal Python Data Science / Machine Learning (ML) library ecosystem.
- Excellent written and oral communication skills for both technical & non-technical audiences.
- Highly engaged, evidenced through specific examples of collaboration, effective teamwork, successful independent work, and continued professional development.
- Commercial, experience of successfully utilizing time series and natural language processing (NLP – especially in relation to topic modelling and named entity recognition) methods. A good working knowledge of supervised and un-supervised techniques is presumed.
- Practical knowledge/experience of solution deployment (data science pipelines, MLOps frameworks and libraries etc.).
- Experience of working in financial services with respect to consumer and/or business lending.
Responsibilities
- Apply a range of problem appropriate data science techniques to large data sets, from development to deployment support.
- Work closely with data engineers and developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for our clients.
- Communicate effectively with clients and stakeholders, ensuring their requirements are fully understood and met.
- Conduct effective customer trials to grow our open banking impact, supporting data specification, data processing/analysis and result generation/presentation.
- Be highly proactive in pursuit of product excellence. For example, by investigating/proposing new data sources, encouraging cross team working, managing projects to agreed schedules and looking to utilise new tools and techniques.
- Help to develop, implement and honour effective, engaging team methods to support rapid prototyping, reproducibility, productivity, automation, and appropriate data governance.
- Engage with the wider Mastercard data science community, sharing best practice, knowledge, and insights, in support of collaborative, fulfilling work and value creation.
Benefits
- insurance (including medical, prescription drug, dental, vision, disability, life insurance)
- flexible spending account and health savings account
- 16 weeks of new parent leave
- up to 20 days of bereavement leave
- 80 hours of Paid Sick and Safe Time
- 25 days of vacation time
- 5 personal days
- 10 annual paid U.S. observed holidays
- 401k with a best-in-class company match
- deferred compensation for eligible roles
- fitness reimbursement or on-site fitness facilities
- eligibility for tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Senior
