Data Scientist I

Job Description

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company, and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?

About the team:  

The Predictive Analytics team contributes to the vitality and growth of the organization through researching and building complex, cutting edge and scalable models, algorithms, platforms, and processes to significantly improve internal customer experience and drive business results. Our high caliber team uses rigorous quantitative approaches to ensure that we are efficiently building solutions that are relevant to the business or customer experience issue at hand.

What you will be doing:

On FIS’ GRS Predictive Analytics team, you won’t be just tinkering around the edges, you’ll be building critical solutions that will benefit our clients for years to come. We work closely with business stakeholders to deliver high-value solutions that drive client and business value.

What you will need:

• BS/MS in a quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
• Advanced knowledge in model evaluation, tuning and performance, operationalization and scalability of scientific techniques, and establishing decision strategies
• Hands-on experience developing supervised and unsupervised machine learning algorithms – regression, clustering, decision trees, time series analysis, and feature selection/reduction
• Experience in evaluating and making decisions around the use of new or existing tools for a project
• Experience in projects involving large-scale multi-dimensional databases, complex business infrastructure, and cross-functional teams. Three to five successfully launched ML projects would be ideal
• Experience with Cloud Computing environments: AWS/SageMaker, Azure/Synapse, or GCP
• Experience with Jupyter notebooks
• Programming skills in Python, R, SQL, Spark, Scala, or MatLab
• Strong mathematical, statistical, and numerical modeling skills

Added bonus if you have:

• Previous experience managing a team of data scientists and engineers
• End to end ML Ops design and implementation in Snowflake or Synapse
• Experience with data visualization and post-hoc analysis enablement tools: PowerBI, Tableau
• Advanced time series analysis, panel data, and hypothesis/regression model testing
• Experience with Deep Learning and Neural Networks

What we offer you:

At FIS, you can lead our growth strategy and drive real, measurable results.

• Direct engagement in projects supporting senior leadership to drive business performance and growth
• Flexible and creative work environment
• Diverse and collaborative atmosphere
• The latest tech stack – distributed storage and compute within a integrated analytical workspace that allows for collaboration and quick conversion of prototypes to ML

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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