Data Scientist

undefined ago • 2 Years + • Data Analysis

Job Summary

Job Description

Visa is a world leader in payments technology, connecting the world through an innovative, secure network. The Global Data Science group supports partners by leveraging Visa's rich data (over 3 billion cards, 100 billion transactions annually) to build creative solutions with immediate business impact. This role involves brainstorming innovative data uses, communicating with clients, extracting insights, developing visualizations, and crafting data products. Data Scientists will join a focus area (e.g., banks, merchants) with rotation opportunities to gain broad business exposure.
Must have:
  • Brainstorm innovative ways to use unique data to answer business problems
  • Communicate with clients to understand challenges and convince them with data
  • Extract and understand data to form opinions and derive relevant insights
  • Develop visualizations for complex analyses accessible to a broad audience
  • Find opportunities to craft products out of analyses suitable for multiple clients
  • Work with stakeholders to identify opportunities for leveraging Visa data to drive business solutions
  • Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • 2 or more years of work experience with a Bachelor’s Degree or an Advanced Degree
  • 2+ years’ experience in data-based decision-making or quantitative analysis
  • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Competence in Excel, PowerPoint and Tableau
  • Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
Good to have:
  • Previous exposure to financial services, credit cards or merchant analytics
Perks:
  • Potential sales incentive payments
  • Bonus
  • Equity
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k)
  • FSA/HSA
  • Life Insurance
  • Paid Time Off
  • Wellness Program

Job Details

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

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Global Data Science group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Scientists who are equally passionate about the opportunity to use Visa’s rich data to tackle meaningful business problems. You will join one of the Data Science focus areas (e.g., banks, merchants & retailers, digital products, marketing) with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.

Essential Functions

  • Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems
  • Communicate with clients to understand the challenges they face and convince them with data
  • Extract and understand data to form an opinion on how to best help our clients and derive relevant insights
  • Develop visualizations to make your complex analyses accessible to a broad audience
  • Find opportunities to craft products out of analyses that are suitable for multiple clients
  • Work with stakeholders throughout the organization to identify opportunities for leveraging Visa data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product, marketing techniques and business strategies for Visa and its clients
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, advertising targeting and other business outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

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

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+ years’ experience in data-based decision-making or quantitative analysis
  • Bachelor’s degree in an analytical field such as statistics, operations research, economics, computer science or many others (graduate degree is a plus)
  • Experience with extracting and aggregating data from large data sets using SQL or other tools
  • Competence in Excel, PowerPoint and Tableau
  • Experience in understanding and analyzing data using statistical software (e.g., Python, SAS, R, Stata or others)
  • Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

**U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 111,000.00 to 155,350.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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About The Company

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.

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