Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Data Science and Analytics team at Finicity, a Mastercard company, is seeking a Lead Data Scientist to drive innovation in Intelligent Decisioning, financial certainty, and verification solutions. This role involves leading and mentoring a team to develop production-grade machine learning services that impact the global economy.

Responsibilities

• Lead, mentor, and grow the data science team and tech stack for production-grade services.
• Plan and direct data science and machine learning projects.
• Design and implement machine learning models for financial applications including transaction classification, temporal analysis, and risk modeling.
• Measure, validate, implement, monitor, and improve internal and external machine learning models.
• Apply machine learning, deep learning, and LLM techniques to solve analytical problems.
• Propose creative solutions to challenges new to the company and the financial industry.
• Present technical findings to business leaders and clients.
• Leverage best practices in machine learning and data engineering to develop scalable solutions.
• Identify resource gaps and provide sustainable solutions.
• Communicate vision and roadmaps effectively to stakeholders.

Requirements

• 7+ years of experience in data science and machine learning model development and deployment.
• Strong understanding of NLP, statistical modeling, visualization, and advanced data science methods.
• Experience with Kubernetes, containers, Docker, REST APIs, and event streams.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics (Master’s preferred).
• Ability to gain insights from text and non-language tokens.
• Experience with financial transactional data, transaction classification, and credit risk modeling is a plus.
• Finance and FinTech experience preferred.
• SQL and database experience preferred.

Skills

• Machine Learning (SVM, Random Forest, XGBoost, LightGBM, CATBoost)
• Deep Learning (LSTM, RNN, Transformer)
• LLMs and GenAI
• Python
• Sklearn
• Pandas
• TensorFlow
• Agentic AI
• Data Engineering
• Technical Leadership
• Communication and Presentation

Location

• Salt Lake City, Utah

Work Type

• Full-time

Experience Level

• 7+ years

Education Level

• Bachelor’s Degree
• Master’s Degree

Salary/Compensations

• $140,000 - $231,000 USD

Benefits

• Medical, prescription drug, dental, and vision insurance
• Disability and 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 company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Tuition reimbursement

About the Company

• Mastercard is a global technology company in the payments industry.
• Finicity is a Mastercard company leading the Open Banking Initiative.
• The company mission is to connect and power an inclusive, digital economy that benefits everyone.
• Operates in over 200 countries and territories.

Equal Opportunity

• Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.