Visaposted 5 months ago
$83,200 - $87,360/Yr
Full-time • Intern
Hybrid • Foster City, CA
Credit Intermediation and Related Activities

About the position

The Data Science Intern position at Visa involves developing data analytics solutions to address complex business problems using Visa's extensive data resources. The role focuses on building predictive machine learning models to support various Visa products, enhancing fraud defense and identity verification for clients globally. Interns will collaborate across teams to create innovative analytic solutions, leveraging large datasets and quantitative techniques.

Responsibilities

  • Develop data analytics solutions to solve business problems.
  • Work with large datasets using quantitative techniques.
  • Build complex statistical models that learn from big data.
  • Collaborate with multiple teams and functions to develop advanced analytic solutions.
  • Utilize machine learning and artificial intelligence to support Visa's predictive models.

Requirements

  • Currently pursuing a master's degree in computer science, Data Analytics, Data Science, Information Technology, Statistics, or a related STEM/quantitative field with a graduation date in December 2025 or later.
  • 2 years of relevant work experience.
  • Strong communication skills, both written and spoken.

Nice-to-haves

  • Proficient in database tools such as Hadoop/HIVE/SQL and programming languages like Python/Pyspark.
  • Experience in delivering analytics solutions using machine learning frameworks.
  • Familiarity with visualization and reporting tools such as Power BI, Tableau, or similar.
  • Exhibits intellectual curiosity and a desire to learn continuously.
  • Previous exposure to financial services, credit cards, or merchant analytics.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan
  • Flexible Spending Account (FSA) or Health Savings Account (HSA)
  • Life insurance
  • Paid time off
  • Wellness program
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service