Staff Data Scientist

Job Description

About the Team

FIS provides banks with cutting-edge solutions to process over $40 trillion annually. Our offerings include fraud detection, identity verification, onboarding, and case management systems. The Y team leverages data science and machine learning to combat global fraud, protecting individuals, businesses, and financial institutions from threats ranging from individuals to multinational crime rings. As a Staff Data Scientist, you’ll play an integral role in designing state-of-the-art machine learning systems, contribute to organization strategy, help grow junior scientists, and be a leader in a data driven organization. You'll collaborate across disciplines—including engineering, analytics, product, design, and operations—to build solutions that stay ahead in a fast-evolving fraud prevention landscape.

About the Role

We are seeking a Staff Data Scientist to drive data-driven decision-making and insights across the organization as well as help design a large scale, state-of-the-art machine learning pipeline. You’ll research, design, and implement data science solutions with a team of data scientists to address complex business challenges, contributing to the development of innovative fraud detection systems.

Responsibilities

• Demonstrate ownership across all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy

• Architect and 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 to optimize quality and performance

• Create frameworks to identify trends, anomalies, and opportunities, providing actionable insights for product, engineering, and operations teams

• Collaborate with business stakeholders to understand their needs and translate them into data-driven solutions

• Clearly communicate findings and insights to cross-functional stakeholders, and drive roadmap

• Stay current with the latest trends and technologies in data science, machine learning and artificial intelligence, and communicate internally

• Help junior scientists grow via technical leadership and mentorship

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Requirements

• PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field

• 8+ 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

• Strong programming skills in Python, SQL, with familiarity in coding concepts and version control via git

• Expertise in traditional machine learning and neural network (Keras, TensorFlow, PyTorch) frameworks

• Proven experience leading and mentoring junior data scientists, and establishing a high bar for technical excellence

• Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments

• Proficiency with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups

• Experience with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP)

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Preferred Qualifications

• Published state-of-the-art research in recognized journals and conference talks 

• Familiarity with payment networks, banking systems, and fintech software

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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

#Atelio

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $189,100.00 - $317,690.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

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.

#pridepass