Data Science Manager

at  visa

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
We are seeking a passionate and ambitious Data Science Manager to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visa’s clients grow their businesses.

REQUIRED QUALIFICATIONS

You must have:

• Strong statistical knowledge and mid-level experience in applying statistical solutions to real-world business problems
• Understanding of the steps required in cleaning and transforming datasets
• Solid SQL and Python programming skills, including working knowledge of data manipulation and machine learning libraries such as pandas and sklearn
• Ability to communicate and engage with non-technical stakeholders

PREFERRED QUALIFICATIONS

You might have:

• An advanced degree (or equivalent experience) in Computer Science, Statistics, Mathematics, or other quantitative discipline
• Experience in payments, banking, or a consulting-like environment
• Commercial experience with Big Data systems such as Hadoop and Spark, end-to-end implementation of ML systems, and/or Software Engineering best practices such as VCS and CI/CD

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

Please refer the Job description for details