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 DescriptionServe as an analytics contributor in the development and implementation of analytic solutions.Create and deliver powerful insights from data through better visualization and storyboardingCollaborate with internal and external partners to fully understand business requirements and desired business outcomesAssist in executing multiple analytics projects within a team environment, supporting the Data Science team.Draft detailed scope for assigned projects, addressing suggested methodology and analytics planExecute on the analytics plan with appropriate data mining and analytical techniquesPerform quality assurance of data and deliverables for work performed by other Data Scientists and selfEnsure all project documentation is up to date and all projects are reviewed per analytics planEnsure project delivery within timelines and budget requirementsBuild on team’s analytical skills and business knowledgeEnhance existing analytics techniques by promoting new methodologies and best practices in the Data Science fieldProvide subject matter expertise and quality assurance of complex data-driven analytic projects

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

Basic Qualifications
2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

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)
- 2-4 years of relevant experience in the field of data science.
- Undergraduate degree in a quantitative field such as Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or equivalent.
- A postgraduate degree is considered a strong advantage.
- Proficiency in Python for data analysis and machine learning tasks.
- Experience with Spark for big data processing and analytics.
- Strong skills in writing and optimizing SQL queries for data manipulation and analysis

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.