Senior Data Scientist, Internal AI & Data Science - Economics

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

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities. 

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world. 

The Global AI & Data Science team under the Global Data Office is focusing on how we can better create, enrich, and validate our own data sets using both internal data and external data sources, focusing on using AI and ML models to systematically collect and process data so that it can be used as a ground truth for many uses within Visa.

In this role, you will lead a team of data scientists contributing to develop AI driven products and services, specifically focused on development of models and for collection and integration of external data sources into our own data, to be used to enrich our understanding of how Visa technologies are used to pay and be paid. The goal is to build a next-generation repository that can keep in line with the changing ways Visa credentials can be used.

Responsibilities include: 

Overall design, development and delivery of approaches needed for collection, processing, and integration of external, structured and unstructured data at scale, into a flexible data model.

·Data sources include information about business across industry segments, across global markets, and spanning social media, public, and commercial databases.

Transforming the above data assets into a multitude of intelligent tags and personas using appropriate, scalable, modeling techniques.

Data Science:

Apply advanced data science techniques to drive business impact

Stay up to date with industry trends and emerging technologies

Develop and maintain expertise in multiple programming languages, AI/ML, GenAI/LLMs, and data science tools

Collaboration:

Work closely with cross-functional teams to integrate data science capabilities

Communicate complex technical concepts and results to stakeholders Influence business decisions with data-driven insights

Technical Expertise:

Develop and maintain expertise in multiple programming languages (e.g., Python, R, Spark)

Stay current with industry trends and advancements in data science tools and technologies (e.g.,   TensorFlow, PyTorch, scikit-learn)

Strategy:

Develop and execute a plan for enrichment of core data sources aligned with business goals

Identify opportunities for data science to drive business impact

Communication:

Communicate complex technical concepts and results to stakeholders

Present data science capabilities and results to senior leadership and business partners.

This is a hybrid position. Expectation of days in office 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)
4+ years’ experience in data-based decision-making, economics or quantitative analysis
Master’s degree in Statistics, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or