# Lead Data Scientist

**Company**: Mastercard
**Location**: Salt Lake City, Utah
**Experience**: senior
**Job type**: full-time
**Salary**: $140,000 - $231,000 USD
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Salt-Lake-City-Utah-Holladay/Lead-Data-Scientist_R-279251?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ce64d7ae-be6

## 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

## Skills

### Required
- machine learning
- data science
- NLP
- statistical modeling
- visualization
- Python
- TensorFlow
- Sklearn
- Pandas

### Nice to have
- Kubernetes
- containers
- Docker
- REST APIs
- event streams
- GenAI
- LLMs
- agentic AI

---

Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Salt-Lake-City-Utah-Holladay/Lead-Data-Scientist_R-279251?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
