Lead, Data Scientist

Job Description

Advanced Analytics drives AI-based solutions and products at a globally scalable level across the different customer lifecycle stages, credit risk management and strategic analytics. Our Credit Risk management area serves as a key differentiator to optimize and grow revenue from consumers and small businesses for Mastercard. To this end, developing and manging a suite of product solutions through internal and external partnerships, creative constructs, application of AI-based solutions, solid frameworks and executable roadmaps are crucial drivers for commercialization and business impact. This role is for a Lead Data Scientist that will work across Product, Client Services Delivery, Data Engineering and the broader teams, to deliver truly differentiated Credit products, leveraging rich data resources, AI platform capabilities and near real-time execution. The Global Credit Risk Product team is executing on an exciting consumer capability initiative and this role is central in that vision, from concept, technical design to market release and optimization. This role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. By entering in the early phase of a truly transformative and impactful strategic initiative, the experience is certain to be rewarding. This role will report into the Vice President of Data Science AI within Advanced Analytics. The successful candidate s primary responsibilities will be to: Drive the evolution of Advanced Analytics products with an impact focused on data science and engineering 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 This role requires the successful candidate to have the following: -Prior experience in working in a data science product development role Strong hands-on experience in Advanced Analytics, Machine Learning, Deep Learning, Advanced Statistics etc. High proficiency in Python, Spark, SQL, R and be able to navigate across multiple languages Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark) or Databricks Demonstrated quantitative and problem-solving abilities including application to real business problems Strong project management skills and ability to meet business deadlines and execution Motivated, flexible, self-directed, and desire to lead small project teams as applicable Curiosity, creativity, and excitement for technology and innovation and outside-in perspectives Ability to multi-task and strong attention to detail including data utilized, methodology, results and validation Outstanding communication and organizational skills Masters preferred in Quantitative discipline like Physical Sciences, Mathematics, Statistics, Economics, Engineering etc. 7-10 years of experience in Data Science function supporting Products