Manager, Data Science

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

What a Manager, Data Science does at Visa:

Specific responsibilities will include:

• 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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

• Bachelor's degree in Economics, Finance, Computer Science, Statistics, or related quantitative field
• 5+ years of experience in performing data exploration and feature engineering
• Experience in working on multiple projects simultaneously
• Proficiency with modelling software experience with Python, Hadoop, Hive, Impala or similar instruments Practical experience in building and applying machine learning models (regression, clustering, classification: gradient boosting, random forests, linear models, deep learning etc.) understanding in how do these algorithms work and end-to-end development skills from business understanding and data preparation to quality assurance of ML models

Additional Information

Visa has adopted a COVID-19 vaccination policy. As a condition of employment, all employees based in the country where this job is located are required to be fully vaccinated for COVID-19, unless a reasonable accommodation is approved or as otherwise required by law.