Data scientist Job at Global Payments, Columbus, GA

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  • Global Payments
  • Columbus, GA

Job Description

Every day, Global Payments makes it possible for millions of people to move money between buyers and sellers using our payments solutions for credit, debit, prepaid and merchant services. Our worldwide team helps over 3 million companies, more than 1,300 financial institutions and over 600 million cardholders grow with confidence and achieve amazing results. We are driven by our passion for success and we are proud to deliver best-in-class payment technology and software solutions. Join our dynamic team and make your mark on the payments technology landscape of tomorrow.

Summary of This Role

Deploys data-driven exploratory analysis as well as predictive models to solve business problems. Designs and analyzes experiments to test new product ideas and convert the results into actionable product recommendations. Leads Analytics Model development, validation and maintenance. Assists with data collection, cleaning, visualization, model building, training, testing, and presentations to build analytics capability and drive efficiencies.

What Part Will You Play?

  • Implements data and analytics solutions, through data science techniques, that solve business problems and create business value.
  • For complex product offerings, closely works with TSYS partners that provide data science products and services to ensure that data science work being done meets TSYS standards and needs.
  • Provides technical guidance and mentoring to business insight managers, as needed.
  • Creates and refines real-time analytic models to understand client and/or prospect needs in order to maximize the value of data driven resources
  • Applies advanced statistical techniques to understand ecosystems, user behaviors, and long-term trends.
  • Leads and executes independent quantitative research projects, leveraging data from multiple sources
  • Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs.
  • Not an exhaustive list; other duties as assigned.


What Are We Looking For in This Role?

Minimum Qualifications

  • Bachelor's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline
  • Typically Minimum 8 Years Relevant Exp
  • Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop). Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, or JavaScript


Preferred Qualifications

  • Experience with Product Analytics
  • Master's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline


What Are Our Desired Skills and Capabilities?

  • Skills / Knowledge - Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept./peer review).
  • Job Complexity - Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.
  • Supervision - Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead).

Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy), national origin, ancestry, age, marital status, sexual orientation, gender identity or expression, disability, veteran status, genetic information or any other basis protected by law. If you wish to request reasonable accommodations related to applying for employment or provide feedback about the accessibility of this website, please contact [email protected].

Job Tags

Full time, Worldwide,

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