Sr. Data Scientist - Visa Commercial Solutions

Visa•Foster City, CA

4d•Hybrid

About The Position

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.Visa cards play a crucial role in allowing our commercial solutions partners to pay and be paid. From large enterprises to small businesses, companies depend on Visa to allow their employees ease of operation in the digital payments ecosystem and to provide them with services that can help them gain valuable insights into their customers spending as well as their own spending. The Global Data Science group supports these commercial partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are hiring Data Scientists who are equally passionate about the opportunity to use Visa's rich data to solve meaningful business problems.This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Requirements

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

Nice To Haves

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
4+ years' experience in data-based decision-making or quantitative analysis
Master's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
Extracting and aggregating data from large data sets using SQL/Hive or Spark
Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
Generating and visualizing data-based insights in software such as Tableau
Advanced knowledge and experience of AI/ML model development and implementation
Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions.
Experience working with LLMs in a production environment
Track record of creating robust and scalable AI/ML/Data Science solutions and products

Responsibilities

Brainstorm innovative ways to use our unique data to answer business problems
Use LLM-based systems for natural language processing, data quality evaluation, and performance evaluation
Connect with internal clients to understand the challenges they face and convince them with data
Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
Develop visualizations to make your sophisticated analyses accessible to a broad audience
Identify and create key metrics and dashboards to track program success
Find opportunities to craft products out of analyses that are suitable for multiple clients
Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
Work collaboratively with Data Scientists, Data Engineers and other cross-functional partners to tailor analyses and solutions to the needs of the business
Assess the efficiency and accuracy of new data sources and data gathering techniques
Develop custom data models and algorithms to apply to data sets
Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes
Synthesize ideas/proposals in writing and engage in productive discussions with external or internal partners