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Salary
$137k – $213k per year
Location
In office (Foster City)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Visa is an American payments technology company whose network traces back to the BankAmericard programme launched in 1958 and which became an independent public company in 2008. It does not issue cards or lend money; instead it operates VisaNet, the switching infrastructure that authorises, clears and settles hundreds of billions of transactions a year between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in San Francisco, the company earns fees on payment volume and processed transactions, and has expanded into account-to-account transfers, tokenisation, fraud scoring and open banking through Visa Direct and its value-added services division.

About Us

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

Role Summary:

The Data Scientist at the Analyst / Team Lead level is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights.

All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.

Key Responsibilities:

  • Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks.

  • Strong expertise in machine learning and deep learning techniques, including MLPs, large language models, and transformer-based architectures, with demonstrated experience building and deploying such models.

  • Develop and execute a vision for data science capabilities aligned with business goals.

  • Lead the design and development of large-scale data science systems and foster innovation within the team.

  • Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends.

  • Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders.

  • Develop and maintain expertise in multiple programming languages and data science tools.

  • Identify opportunities for data science to drive business impact and present results to senior leadership and business partners.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 2 or more years of work experience with a bachelor’s degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).

Preferred Qualifications:

  • 3 or more years of work experience with a bachelor’s degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).

  • Experience in developing advanced data science models.

  • Experience in leading data science teams.

  • Experience in multiple programming languages (e.g., Python, R, Spark).

  • Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn).

  • Experience working with real-world data sets and building scalable models from large-scale data.

  • Experience working with cross-functional teams (e.g., product, engineering, marketing).

  • Experience in project management and meeting deadlines in a fast-moving environment.

  • Experience coaching, leading, and providing direction to a technical data science team.

  • Experience working in global organizations and collaborating with stakeholders and development teams across regions.

  • Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses.

  • Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide.

  • Previous exposure to financial services or payments industry.

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 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.

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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
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