Data Scientist

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

• Collecting, processing, and cleaning data from multiple sources for analysis.
• Developing, validating, and implementing predictive models and machine learning algorithms.
• Developing scalable, financial forecasting models, delivered to multiple end users.
• Performing statistical analysis to understand and visualize data trends.
• Designing and developing generative AI algorithms and agentic solutions.
• Creating data-driven solutions to address business needs.
• Collaborating with cross-functional teams to implement models and monitor outcomes.
• Presenting information using data visualization techniques.
• Proposing solutions and strategies to business challenges.
• Collaborating with engineering and product development teams.
• Have built models deployed and used in production environments.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
• 8+ years of relevant work experience with a Bachelor’s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. A Master's degree or Ph.D. is preferred.
• Proficiency in Python, TensorFlow, and PyTorch for developing AI models.
• Experience with containers and docker files is preferred.
• Experience with database languages (SQL or NoSQL).
• Real world experience in creating financial forecasting models for external customers.
• Deep understanding of statistical and predictive modelling concepts.
• Advanced knowledge of generative AI.
• Knowledge of data management and visualization techniques.
• Experience with Hadoop, Hive and Spark.
• Strong problem-solving skills with an emphasis on product development.
• Excellent written and verbal communication skills.
• Ability to work in a team-oriented, collaborative environment.

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.