Senior Data Scientist

About the Role

Mastercard's International, Open Banking, Product Value Proposition Team is looking for a Senior Data Scientist to develop and drive forward 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.

Responsibilities

• Apply a range of problem-appropriate data science techniques to large data sets, from development to deployment support, in pursuit of highly valued, market leading solutions and insights
• Work closely with data engineers and developers to build and deploy interactive dashboards, providing the best, most engaging insights and UX for clients
• Communicate effectively with clients and stakeholders, ensuring their requirements are fully understood and met
• Conduct effective customer trials to grow open banking impact, supporting data specification, data processing/analysis and result generation/presentation
• Be highly proactive in pursuit of product excellence 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

Qualifications

• 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, with demonstrated key participation in successfully delivered projects
• Real world experience of developing and deploying interactive dashboards based on Plotly's Dash framework
• Workplace Python coding experience, including good knowledge of the principal Python Data Science / Machine Learning library ecosystem
• Excellent written and oral communication skills for both technical and 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 methods (especially in relation to topic modelling and named entity recognition)
• Good working knowledge of supervised and unsupervised techniques
• 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

Pay

Salt Lake City, Utah: $115,000 - $184,000 USD