Manager, Data Science

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

Conducting transaction data analysis with Hadoop Cloud and big data technologies for internal and external clients and stakeholders, and develop deeper insights into the products using advanced statistical methods

Creating user-friendly dashboards and presentations

Building predictive models using advanced machine learning techniques interpret and present modeling and analytical results to non-technical audience

Executing on the analytic plan with appropriate data mining and analytic techniques

Performing QA on data and deliverables by analysts and own deliverables

Ensuring all project documentation is up to date and all projects are reviewed per analytic plan

Ensuring project delivery within timelines

Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.

Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Bachelors degree in Economics, Finance, Computer Science, Statistics, or related quantitative field.
5+ years of experience in performing data exploration and feature engineering and ML models

Additional Information

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.