Job Description
Responsibilities
Contribute to all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy
Help build state-of-the-art, robust, efficient, and observable statistical and machine learning models
Develop large-scale data pipelines using off-the-shelf data tools, optimizing for quality and performance
Identify trends, anomalies, and opportunities, providing actionable insights
Clearly communicate findings and insights to data scientists and other cross-functional stakeholders
Requirements
Masters in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field
4+ years of experience in a data science role or similar
Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems
Good programming skills in Python, SQL, with familiarity in coding concepts and version control via git
Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments
Preferred Qualifications
PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field
6+ years of experience in a data science role or similar
Familiarity with neural network (Keras, TensorFlow, PyTorch) frameworks
Published state-of-the-art research in recognized journals and conference talks
Familiarity with payment networks, banking systems, and fintech software
Familiarity with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups
Familiarity with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP)
What We Offer
At FIS, we hire the best. In return, you’ll receive:
Opportunities to innovate in fintech
Tools for personal and professional growth
An inclusive and diverse work environment
Resources to invest in your community
Competitive salary and benefits
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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