Data Scientist

Posted 13 Days Ago
Washington, DC
113K-175K Annually
Junior
Fintech • Information Technology • Payments
Join a world leader in payments and technology!
The Role
The Data Scientist at Visa will analyze and extract insights from large datasets, develop predictive models and visualizations, and communicate findings to clients to improve business solutions. The role requires collaboration with stakeholders and may involve crafting data-driven products for clients.
Summary Generated by Built In

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

Visa U.S.A. Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington DC to


  • Brainstorm innovative ways to use 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 clients and derive relevant insights.
  • Develop visualizations to make 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.
  • Domestic travel may be required up to 5% of the time.
  • Position reports to the Washington, DC office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:

  • Employer will accept a Bachelor's degree in Statistics, Operations Research, Economics, Computer Science or related field and 2 years of experience in the job offered or in a data scientist-related occupation.
  • Position requires experience in the following:
  • Extracting and aggregating data from large data sets using SQL or other similar tool;
  • Developing visualizations in Tableau or other similar software, and communicating insights from complex analyses to a broader audience;
  • Understanding and analyzing data using statistical software, such as Python, SAS, R, or Stata;
  • Data mining and statistical modeling (e.g., regression modeling, clustering techniques, or decision trees, etc.); and
  • Developing custom data models and algorithms to apply to data sets.

Additional Information

Worksite: Washington DC


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.


Travel Requirements: Domestic travel may be required up to 5% 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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $113,000.00 USD to $175,100.00 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 an annual bonus and equity. Visa has a comprehensive benefits package for which this position is eligible that includes Medical, Dental, Vision, 401(k), Employee Stock Purchase Program, FSA/HSA, Life Insurance, Paid Time off and Wellness Programs.

Top Skills

Python
R
SAS
SQL
The Company
HQ: San Francisco, CA
26,500 Employees
On-site Workplace
Year Founded: 1958

What We Do

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. And Visa’s network is expanding, accelerating our growth. Our resilient business model, with its strong track record of success, will provide you with amazing opportunities to grow in your career, as well.

We are looking for people like YOU. Come join a people-centric company where you can invest in your career.

For more information, visit visa.com/about, visacorporate.tumblr.com and @VisaNews on Twitter.

Why Work With Us

Our employees are our company. Creating an inclusive and diverse workplace has been our key priority. With our purpose to “uplift everyone, everywhere” as our guide, we’re building an environment where diverse backgrounds and perspectives are celebrated and drive success inside our company and out in our communities.

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