Onsite
Full Time
I'm Interested

Job Type

Full Time

Job Details

Job Description

Visa U.S.A. Inc, a Visa Inc. company, needs a Data Scientist (Multiple Openings) in Atlanta, GA to work within a team to:

  • Work within a team to generate business insights based on big data, identify actionable recommendations and communicate the findings to clients.
  • Brainstorm 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, and other business outcomes.
  • Position reports to the Atlanta, GA office and may allow for partial telecommuting.

Qualifications
  • Employer will accept a Master’s degree, or foreign equivalent, in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field.

 

  • Extracting and aggregating data from large data sets using SQL/Hive or Spark;
  • Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark;
  • Generating and visualizing data-based insights in software such as Tableau;
  • Communicating data-driven insights and conveying actionable recommendations;
  • Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams;
  • Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS; and
  • Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.).

Additional Information

WORKSITE:      Atlanta, GA

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 $122,900.00 USD to $196,700.00 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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Data Scientist
I'm Interested