FIS

Senior Data Scientist

FIS • $100K — $140K *
Atlanta, GA 30349In-Person
Finance & Insurance
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field.
  • 5+ years of experience in machine learning and predictive analytics in the Payments or Financial Services industry.
  • Strong programming skills in Python, SQL, and experience with big data technologies like Spark and Hadoop.
  • Expertise in data visualization tools, particularly Tableau, and familiarity with libraries like Pandas and Scikit-learn.
  • Hands-on experience with the Databricks platform and MLOps workflows.

Responsibilities

  • Lead the design and deployment of machine learning solutions to drive business outcomes.
  • Conduct experiments and statistical analyses to inform product and operational strategies.
  • Analyze large datasets to extract insights and support strategic decision-making.
  • Develop and optimize analytical models for internal and external stakeholders.
  • Educate stakeholders on data-driven solutions and present findings effectively.

Benefits

  • A voice in shaping the future of fintech.
  • Continuous learning and development opportunities.
  • A collaborative work environment promoting teamwork.
  • Opportunities to contribute to community initiatives.
Full Job Description
Job Description

FIS-Total Issuing Solutions one of the leading credit card processors globally. You will help build production level machine learning models that enhance the value and efficiency of this financial system. As a member of the Data & Analytics team, the data scientist will deploy data-driven exploratory analysis as well as predictive models to solve business problems across the financial services industry, particularly in the area of Risk, Fraud, Marketing, and Portfolio Management. Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. They will lead Analytics Model development, validation, monitoring, and visualization.

Location - Hybrid (3 days in office, 2 days remote): Atlanta, GA

What you will be doing
  • Lead the design, development, validation, deployment, and monitoring of advanced analytics, machine learning, and AI solutions that drive measurable business outcomes.
  • Design and execute experiments, hypothesis testing frameworks, and statistical analyses to evaluate business strategies, product enhancements, and operational improvements.
  • Analyze and mine large-scale structured and unstructured datasets to uncover actionable insights, identify emerging trends, and support strategic decision-making.
  • Develop, test, and operationalize analytical and machine learning solutions for both internal stakeholders and external clients, ensuring scalability, reliability, and business impact.
  • Apply advanced machine learning, predictive analytics, natural language processing (NLP), and emerging AI techniques to solve complex business problems across the payments and financial services ecosystem.
  • Lead independent quantitative research initiatives, leveraging multiple data sources to generate innovative insights and identify new business opportunities.
  • Partner with product, engineering, business, and executive stakeholders to translate business objectives into data-driven solutions and measurable outcomes.
  • Communicate complex analytical findings through compelling storytelling, executive-ready presentations, dashboards, and visualizations that drive informed decision-making.
  • Design and develop automated dashboards, performance scorecards, and self-service analytics solutions to monitor key business metrics, customer behaviors, model performance, and operational health.
  • Establish and promote best practices in data science, machine learning, experimentation, model governance, and MLOps throughout the organization.
  • Lead proof-of-concept (POC) initiatives to evaluate emerging technologies, machine learning techniques, and Generative AI capabilities, translating successful pilots into production-ready solutions.
  • Drive model lifecycle management, including feature engineering, model training, validation, deployment, monitoring, retraining, and performance optimization.
  • Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning.
  • Provide technical leadership and guidance on analytical methodologies, model selection, data quality, and solution architecture.
  • Collaborate with data engineering teams to define data requirements, optimize data pipelines, and ensure availability of high-quality data for analytics and machine learning initiatives.
  • Ensure adherence to regulatory, security, compliance, and model governance standards within a highly regulated financial services environment.
  • Stay current on industry trends and advancements in machine learning, artificial intelligence, Generative AI, cloud technologies, and financial services analytics.
  • Contribute to strategic planning by identifying opportunities where advanced analytics and AI can create competitive advantage and business value.
  • Perform other duties and responsibilities as assigned.


What you will bring

Minimum Qualifications
  • Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or another quantitative discipline.
  • 5+ years of experience developing and deploying end-to-end machine learning, predictive analytics, and data science solutions within the Payments, Banking, or Financial Services industry.
  • Strong proficiency in data science programming languages and big data technologies, including Python, SQL, Spark, PySpark, R, and Hadoop.
  • Extensive experience with data wrangling, feature engineering, and model development using libraries such as Pandas, NumPy, Scikit-learn, Plotly, Matplotlib, and Seaborn.
  • Advanced expertise in data visualization and business intelligence platforms, including Tableau.
  • Hands-on experience with the Databricks platform, including MLflow, AutoML, Model Registry, collaborative notebooks, and MLOps workflows.
  • Demonstrated ability to identify innovative business opportunities, develop proof-of-concepts (POCs), and translate successful pilots into scalable solutions.
  • Strong experience building and deploying machine learning models, including classification, clustering, and predictive models such as Random Forest, XGBoost, Gradient Boosting, and K-Means.
  • Experience applying Natural Language Processing (NLP) techniques to solve business challenges.
  • Proven ability to communicate complex analytical concepts and insights to both technical and non-technical stakeholders.


Preferred Qualifications
  • Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
  • Experience designing and deploying cloud-native data science and machine learning solutions within AWS environments.
  • Demonstrated success in productizing machine learning models and analytics solutions for enterprise-scale production environments.
  • Experience leading the deployment, monitoring, governance, and lifecycle management of production-grade machine learning applications.
  • Knowledge of Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and related frameworks.
  • Experience mentoring junior data scientists and providing technical leadership across complex analytics initiatives.
  • Familiarity with modern MLOps practices and model governance within regulated financial services environments.


What we offer you:

A career at FIS is more than just a job. It's the change to shape the future of fintech. At FIS, we offer you:
  • A voice in the future of fintech
  • Always-on learning and development
  • Collaborative work environment
  • Opportunities to give back
  • Competitive salary and benefits


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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About FIS

Fidelity National Information Solutions is the nation’s most comprehensive source for real estate-related data, technology solutions.

FIS Careers

Join the vibrant team at FIS, a global leader in financial services technology. With a workforce of over 55,000 worldwide, FIS fosters a culture of innovation and leadership, offering unmatched opportunities for growth and professional development. Work You’ll Do At FIS, we empower the financial world with cutting-edge technology solutions, and we need your unique skills to help us redefine the future of finance. Whether you're looking for a position in software development, project management, or client services, FIS offers a dynamic range of job opportunities. Transform the Industry Be part of a team that is at the forefront of driving innovation in banking, payments, capital markets, and wealth management. FIS is where finance meets technology. By joining us, you will not only transform businesses but shape the way the world uses money. Innovative Work Environment FIS is committed to fostering a workplace where diverse perspectives and experiences are welcomed and respected. With diversity training and leadership programs, employees are encouraged to thrive both personally and professionally. Our commitment to diversity and inclusion is integral to our mission to empower the world with better financial technology. Career Growth and Development FIS believes in nurturing talent and leadership from within. With a plethora of training programs, workshops, and seminars, FIS is dedicated to your career advancement. From internships to leadership roles, your journey at FIS is filled with endless possibilities. Our robust networking events and professional development sessions ensure you have the tools to succeed in your career. Benefits and Culture Choosing a career at FIS means joining a family that values work-life balance and offers substantial benefits. Enjoy health, vision, and dental insurance, competitive retirement plans, and generous paid time off. Our culture promotes not just professional growth but personal well-being. Join Our Team Explore the numerous job opportunities at FIS where your skills can lead to meaningful outcomes. We are continuously hiring curious, creative, and motivated individuals who are ready to drive change in the fintech industry. Stay Connected Keep up to date with the latest in career opportunities and company news by joining our FIS Careers Network. Tailor your job search with personalized alerts and get insider tips that can help you craft the perfect resume and ace your interviews. Discover how your career can flourish by joining a team that’s dedicated to redefining the financial services landscape. Search FIS jobs today and see where your ambition can take you! [SEARCH FIS JOBS] Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. [READ CAREERS BLOG] Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at FIS.
Learn more about FIS
Size
65,000 employees
Market Cap
$39.7 billion
Industry
Finance & Insurance
Net Income
$158 million
Founded
1968
5 Year Trend
+9.5%
Revenue
$12.5 billion
NASDAQ
FIS
* Ladders Estimates

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