Field Data Scientist

Who you are

• Computer/Data Science or Engineering degree, or equivalent experience
• Experience in a customer-facing or heavily cross-functional role with data science centric project management experience
• Excellent scripting and analysis skills in python and SQL
• Excellent presentation and communication skills
• Experience in a machine learning or data analytics capacity
• Ability to create and understand supervised machine learning models
• Experience in understanding customer needs and using those to build design docs or technical specifications
• Proven ability to establish credibility with technical leaders in customer organizations

What the job involves

• Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience
• We provide value-added services and leverage expertise, data-driven insights, and execution
• As a Field Data Scientist within Mastercard Identity, a Services organization, you will have a diverse set of responsibilities supporting sales (pre-sales), customer success (post-sale), and product development, with the aim of supporting, growing, and developing a best-in-class product suite in the identity verification industry
• The role is focused on making sure potential prospects & clients see the best possible value from Mastercard Identity’s data ecosystem through machine learning or rule-based systems
• As a product implementation expert, you will advise customers how to best leverage Identity’s data in their fraud workflows through proof of value tests
• In addition, Field Data Scientists advise internal product stakeholders on opportunities for new product development and go to market strategies
• Support the sales team to ensure Mastercard Identity can highlight the maximum benefit of its dataset through proof of value (POV) tests
• Support development of machine learning and rules-based models to help our client’s maximize fraud detection and false positive reduction, increase payment acceptance, and optimize their risk decisioning
• Understand customer business needs and workflows, using this knowledge to position Mastercard Identity products and design solutions using them
• Proactively nurture & maintain one-on-one relationships with customer data scientists, with the aim of providing deep insights for development of fraud models
• Acquire a deep knowledge of Mastercard Identity products and data, using this knowledge to act as subject matter expert for customers
• Analyze Mastercard Identity data features and provide recommendations to our Product team to ensure that our products continually provide the best performing signals for our customers
• Work with customer IT and engineering resources to QA their integration of Identity API products and ensure the correct data is available for modeling
• Assist with internal training on Identity products, data, and processes
• Attend product spec reviews to bring customer facing perspectives and share feedback from the market