at Visa
Full TimeVisa 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.
What your workday will look like
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 ML and statistical techniques, creating powerful, business-centric insights from data through better visualization and storyboarding
Provide subject matter expertise and quality assurance of complex Data Science projects
Contribute to increasing data literacy and developing DS activity
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.
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Advanced degree (or equivalent experience) in Computer Science, Statistics, Mathematics or other quantitative discipline such as an MSc from an Engineering school
Strong statistical knowledge and experience in applying ML solutions to real-world business problems
Excellent analytical and problem-solving skills to translate technical solutions into actionable recommendations and business impact
Deep understanding of DS pipelines and ML models
Demonstrated SQL and Python programming skills, including most common data manipulations and ML packages
Ability to communicate and engage various audience levels, including non-technical stakeholders
Fluency in English/French
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)
Experience/interest in Payments, Banking or consulting-like environments
Hands-on experience with data visualisation tool such as Tableau or Power BI
Hands-on experience with Big Data systems such as Hadoop and Spark, end-to-end implementation of ML systems and/or Software Engineering best
Our FBL cluster is growing!! We are seeking a passionate and ambitious Junior Data Scientist to grow our activity in our 3 strategic markets: France, Belgium and Luxembourg. The Data Science Analyst is a key member of the client facing Data Science Lab team in the European region. In this role, you will work collaboratively with Visa Consulting Analytics, a multitude of internal functions and their senior leaders to help Visa’s clients grow their businesses. You will be accountable for developing, promoting and delivering data-driven solutions but also spreading best practices to drive business performance with a clear commercial ‘value’ and measurable ‘return’.
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.
