Senior Data Scientist

Posted 8 Days Ago
Be an Early Applicant
Atlanta, GA
In-Office
137K-220K Annually
Senior level
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
As a Senior Data Scientist, you'll develop AI-driven data products, design machine learning solutions, and collaborate with various teams to improve data quality and model performance.
Summary Generated by Built In
Company Description

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

We are seeking a highly technical and hands-on Senior Data Scientist to contribute to the development of AI-driven data products in Visa Predictive Fraud Intelligence and Data Science. In this role, you will work closely with engineering, product, and architecture partners to design, build, and deploy machine learning solutions that operate at global scale.

This is an execution-focused role for an experienced data scientist who thrives in production environments and enjoys solving complex data and modeling problems that directly impact customers.

What You Will Do (Essential Functions)

  • Design, develop, and deploy machine learning models and data solutions that support analytics, predictive insights, and AI-powered platform features.
  • Perform data exploration, feature engineering, modeling, and validation using large, complex datasets.
  • Build, maintain, and improve data pipelines and model workflows in partnership with engineering teams.
  • Apply appropriate metrics and evaluation techniques to measure model performance, reliability, and business impact.
  • Collaborate with Product, Engineering, and Security partners to translate business requirements into scalable and secure data science solutions.
  • Contribute to platform modernization efforts by improving data quality, performance, reliability, and observability.
  • Support operational readiness through monitoring, troubleshooting, and continuous improvement of deployed models.

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD

Preferred Qualifications:

  • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
  • 2+ years of experience building and deploying AI/ML models for analytics, predictions, or recommendations in production environments.
  • 3+ years of experience working with large-scale data technologies such as Spark, Kafka, Hadoop, Hive, NoSQL, or relational databases.
  • 2+ years of experience designing and maintaining ETL or data pipelines.
  • Experience working with big data, distributed systems, and batch or streaming data processing.
  • Strong understanding of metrics design, experimentation, and model evaluation techniques.
  • Proficiency in Python and SQL, experience with modern ML frameworks is a plus.

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 this position is 137,200.00 to 219,700.00 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.

Top Skills

Hadoop
Hive
Kafka
NoSQL
Python
Spark
SQL
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The Company
HQ: San Francisco, CA
33,000 Employees
Year Founded: 1958

What We Do

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges,
growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world.

Progress starts with you

For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.

Why Work With Us

At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.

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