Senior Data Scientist Global Economics @ Visa
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Job Details
About Visa
Visa is a world leader in payments and technology, processing over 259 billion transactions in more than 200 countries and territories annually. Its mission is to connect the world with innovative, reliable and secure payment solutions that uplift individuals, businesses, and economies.
Role Overview
The Senior Data Scientist Global Economics role drives impactful business insights through advanced data analysis and innovative use of AI and ML models. You will provide technical leadership to generate actionable insights, develop predictive models, and create visualizations to make complex analyses accessible for a broad audience.
Key Responsibilities
- Provide technical leadership to derive business insights from big data.
- Brainstorm innovative ways to leverage Visa's unique data sets.
- Collaborate with clients to understand and solve business challenges.
- Develop visualizations and predictive models for enhanced customer experiences.
- Mentor team members in modern analytic techniques.
- Manage multiple projects and engage with multi-functional partners.
Essential Functions
The role includes creating custom data models, using programming languages like Python and SQL, and employing tools such as Tableau for data visualization. It involves mining data to assess new sources, developing machine learning algorithms, and providing detailed reports and recommendations to drive business solutions.
Work Environment & Additional Information
This is a hybrid position. Expect additional in-office days as determined by your hiring manager. The role involves minimal travel (5-10%) and is primarily office based with standard work equipment.
Key skills/competency
- Data Science
- Machine Learning
- SQL
- Python
- Predictive Modeling
- Data Visualization
- Big Data
- Global Economics
- Statistical Analysis
- Leadership
How to Get Hired at Visa
🎯 Tips for Getting Hired
- Tailor your resume: Highlight expertise in data science and economics.
- Research Visa: Study their mission, data strategies, and innovations.
- Showcase projects: Emphasize predictive modeling and client impact.
- Prepare for interviews: Brush up on analytics and leadership examples.