Data Scientist

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Job Overview

Position Type :

Full time
Education Desired :

Bachelor’s Degree
Travel Percentage :

Job Description
We lift economies and communities by advancing the way the world pays, banks and invests.

Since our two companies came together, Worldpay has formed the Merchant Solutions division of FIS. We call it u201CWorldpay, from FISu201D. In the time you’ve taken to read this one sentence, our platforms have processed over 8,000 transactions and this number grows daily. Join us now to realize your own future growth and success.

FIS stays ahead of how the world is evolving to power businesses, across merchants, banking and capital markets, to outpace today’s fast-changing competitive landscape and help our clients run, grow and achieve more for their business.

We want all our people to bring their very best self into work, and that means balancing priorities and passions, at work and at home. We create teams without barriers, fostering creativity and innovation – behaviors that we value in everything we do.


u2022 Employ machine learning and statistical modeling to create and enhance data driven products
u2022 Analyze and extract insights from internal and external data
u2022 Work with Big Data and transform complex datasets into more usable formats
u2022 Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL
u2022 Work independently and collaborate with other groups to solve complex problems
u2022 Create and present analyses to internal and external partners and clients
u2022 Document models and write code to track and monitor models and product performance
u2022 Understand the realities of model development and make pragmatic and business-aware choices when trading-off sophistication and accuracy versus implementation and performance costs
u2022 Other related duties assigned as needed

Masters or PhD in Statistics, Decision Sciences, Applied Mathematics, Economics or Computer Science or the equivalent combination of education, training, and work experience.


u2022 Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis
u2022 Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL
u2022 Experience or knowledge of cloud-based technology
u2022 Knowledge of financial services industry
u2022 Ability to collaborate with others and solve complex problem
u2022 Proficiency in solutions design and requirements
u2022 Outstanding verbal and written communication skills to technical and non-technical audiences of various levels in the organization, e.g., executive, management, individual contributors
u2022 Excellent analytical, decision-making, problem-solving, team, and time management skills
u2022 Ability to persuade and influence others on the best approach
u2022 Positive outlook, strong work ethic, and responsive to internal and external clients and contacts
u2022 Ability to work as part of a team or alone making a strong contribution in either scenario
u2022 Exceptional statistical, mathematical and analytical skills
u2022 Superior interpersonal, communication and presentation skills
u2022 Delivery-oriented team player who takes responsibility for the team’s success and strives to continually learn and improve
u2022 Ability to interface with all levels of employees and effectively interact with various functional areas and facilities
u2022 Ability to establish and maintain effective working relationships with employees, management, and clients

All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This position description is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Employees may be required to perform any other job-related instructions as requested by their leader, subject to reasonable accommodation.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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