Lead Data Scientist

Yesterday Bellevue, WA

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

The Visa Acceptance Platform is the foundation for creating innovative payment solutions that drive exceptional customer experience. It lets you easily leverage a broad range of pre-integrated modular services and a growing ecosystem of technology and payments partners. Because it's Visa, the platform is secure, robust, and resilient. And because it's open, it will continue evolving to support you into the future.

At Visa, we believe AI technologies have the potential to radically transform commerce. We launched Visa Intelligent Commerce to enable this next era of commerce. This program provides the infrastructure and tools developers need to build trusted, agentic experiences.

Make an impact with a purpose-driven industry leader. Join us today and be part of AI transformation journey at Visa.

We are looking for a versatile, curious, and energetic Lead Data Scientist to join our team of passionate and dedicated engineers. We are the backbone for innovative data science and artificial intelligence developments at Visa acceptance, and we thrive on solving complex challenges on a global scale! As a Lead Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

You will face big challenges and question the status quo, changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

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The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboration and engineering excellence. Be an idea leader and bring industry best practices to benefit the team and the wider organization. The ability to balance demanding business capabilities with building for operational excellence while meeting regulatory, security and privacy requirements.

The successful candidate will be comfortable navigating the challenging dynamic payments space and leading global teams responsible for platform transformation efforts. This candidate will play a pivotal role in our continued embrace of AI, seeking new paths to revenue by improving delivery efficiency and pushing forward for new products.

Essential Functions:

  • Provides technical expertise and mentors others to implement extensible, maintainable, and reusable code, defines framework, principles, coding patterns, guidelines, styles, and standard methodologies, and adheres to all security requirements for the application of artificial intelligence and data science.
  • Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
  • Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products.
  • Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies.
  • Identifies complex trends across relevant data sources and uses insights to plan platform-wide future solution updates. Identifies opportunities and defines roadmap for software upgrades and server patches for security remediation where applicable.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:
10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications:
12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
Three (3) years of experience building AI / ML powered models for predictive analytics / insights
Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
Two (2) years of experience designing, implementing, and maintaining ETL pipelines.
Three (3) years of Experience with data analysis, metrics building & evaluation.
Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 180,000.00 to 261,000.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Client-provided location(s): Bellevue, WA
Job ID: f4e9110d-adf4-4a76-9ab8-8838aaaa3bf6
Employment Type: OTHER
Posted: 2025-12-16T17:45:41

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • HSA With Employer Contribution
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • Mental Health Benefits
    • Virtual Fitness Classes
    • HSA
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
    • Happy Hours
    • Casual Dress
  • Vacation and Time Off

    • Paid Holidays
    • Paid Vacation
    • Volunteer Time Off
    • Summer Fridays
    • Leave of Absence
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
    • Financial Counseling
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Tuition Reimbursement
    • Mentor Program
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Lunch and Learns
    • Internship Program
    • Professional Coaching
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)