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
What it's all about ...
We are seeking a passionate and ambitious Senior Data Scientist to partner with Visa Consulting & Analytics and co-develop data-driven solutions to help Visa’s clients grow their businesses.
What we expect of you, day to day
- Develop a deep understanding of Visa’s data assets and how they can be used to enhance client profitability across acquisition, usage, and retention
- Collaborate with internal and external stakeholders to understand business requirements and desired outcomes, leading to the definition of a detailed analytical plan
- Execute on the analytical plan with appropriate statistical techniques, creating powerful, business-centric insights from data through better visualisation and storyboarding
- Provide subject matter expertise and quality assurance of complex Data Science projects
- Identify trends in our client work to inform Visa’s data product development path
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
What we're after...
- Graduate/Post Graduate degree (e.g. Master’s or Ph.D.) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience
- Results oriented with strong analytical, consultative, and problem-solving skills, with demonstrated intellectual and analytical rigor
- Hands-on experience with one or more data analytics/programming tools such as R/Python
- Experience in the application of predictive modelling and machine learning technique to business problems
Preferred Qualifications
- Experience working in payments industry (bank, credit reference agencies, Fintech) or management-consulting firm.
- Hands-on experience with modern distributed systems, including both Hadoop/SQL and Apache Spark
- Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
- Team oriented, collaborative, diplomatic, and flexible style, with the ability to tailor data driven results to various audience levels
- Proven skills in translating analytics output to actionable recommendations and delivery
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.
Top Skills
What We Do
At Visa, we are driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. As our products and technology have evolved with the world, Visa remains ubiquitous, reaching new customers in new and often invisible ways. We are at the center of this digital revolution with a network that connects people with over 80 million businesses all over the world. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.
We are looking for people like YOU. Come join a people-centric company where you can invest in your career.
For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.
Why Work With Us
Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.
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