Data Scientist Job at Visa, Washington DC

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  • Visa
  • Washington DC

Job Description

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 USA Inc., a Visa Inc. company, needs a Data Scientist (multiple openings) in Washington, DC to:

  • Execute model implantation and performance tracking for risk models.
  • Generate performance analysis at the aggregate level, as well as issuer level.
  • Interpret and present performance results to non-technical audience.
  • Compile complex predictive model packages for production deployment; support model installations and monitor and calibrate production models.
  • Propel analytic product development via conducting statistical analyses on various data sources.
  • Add values to products by being innovative and applying the analysis.
  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users.
  • Support sales and business efforts with sound statistical and financial analysis.
  • Execute ad-hoc analyses to meet the fast-changing market demands.
  • Conduct transaction data analyses with Hadoop/Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods.
  • Ensure project delivery within timelines and meet critical business needs.
  • Promote big data innovations and analytic education throughout the organization.
  • Position reports to the Washington, DC office and may allow for partial telecommuting.

Qualifications

Basic Qualifications:

  • Master's degree in Business Analytics, Computer Science, Statistics, or related field and 2 years of experience in the job offered or in a data scientist-related occupation.
  • Python coding;
  • Predictive modeling;
  • Spark coding:
  • SQL;
  • Model validation; and
  • Data analysis.

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: This position does not require travel.

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 $116,500.00 USD to $180,500.00 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.

Job Tags

Full time, Work at office, Local area, Remote work, 2 days per week, 3 days per week,

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