Description
Mastercard, a global technology company in the payments industry, is seeking a Lead Data Scientist to join its Data Science and Analytics team at Finicity, a Mastercard company. The ideal candidate will be passionate about leveraging data to provide high-quality customer solutions and possess strong technical leadership skills.
Job Summary As a Lead Data Scientist, you will lead, mentor, and grow the data science team and tech stack focused on developing production-grade services and capabilities. You will plan and direct data science/machine learning projects, design and implement machine learning models for various financial applications, measure and validate model performance, and propose creative solutions to existing challenges.
Responsibilities
- Lead, mentor, and grow the data science team and tech stack
- Plan and direct data science/machine learning projects
- Design and implement machine learning models for financial applications, such as transaction classification, temporal analysis, and risk modeling
- Measure, validate, implement, monitor, and improve performance of machine learning models
- Apply various machine learning and deep learning techniques to solve analytical problems
- Present technical problems and findings to business leaders and clients
- Leverage best practices in machine learning and data engineering to develop scalable solutions
- Identify areas where resources fall short of needs and provide sustainable solutions
Requirements
- Experience mentoring and leading data science teams
- Substantial experience in data science/machine learning model development and deployments
- Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation, and credit risk modeling is a plus
- Strong understanding of NLP, statistical modeling, visualization, and advanced data science techniques
- SQL/database experience is preferred
- Experience with Kubernetes, containers, Docker, REST APIs, event streams, or other delivery mechanisms
- Familiarity with relevant technologies, such as GenAI, LLMs, agentic AI, TensorFlow, Python, Sklearn, and Pandas
- Strong desire to collaborate and ability to come up with creative solutions
- Finance and FinTech experience preferred
- PhD or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics
Benefits
- Competitive base salary
- Annual bonus or commissions depending on the role
- Insurance, including medical, prescription drug, dental, vision, disability, life insurance
- Flexible spending account and health savings account
- Paid leaves, including 16 weeks of new parent leave and up to 20 days of bereavement leave
- 80 hours of paid sick and safe time, 25 days of vacation time, and 5 personal days
- 401k with a best-in-class company match
- Deferred compensation for eligible roles
- Fitness reimbursement or on-site fitness facilities
- Eligibility for tuition reimbursement