E-Payments Risk Data Scientist (Machine Learning)

E-Payments Risk Data Scientist (Machine Learning) at Fiserv. Analyze fraud patterns, design and optimize fraud models, and partner with product and risk teams to translate data-driven insights into effective fraud strategies.

Requirements

• 2+ years of analytics experience in risk, fraud, or credit domains using tools such as Python, SQL, or similar, including end-to-end work with large datasets.
• 2+ years of experience in developing and deploying predictive models, including classification models, within financial services, payments, fintech, or a related industry.
• Experience designing and executing the full modeling cycle, including data collection, exploratory data analysis, feature engineering, model estimation, performance evaluation, and production implementation using tools such as Python (for example, Pandas, scikit-learn, TensorFlow).
• Experience explaining statistical and machine learning concepts to non-technical stakeholders in client-facing or cross-functional settings, including the ability to create clear visualizations and presentations.
• Experience writing production-quality Python code to collect and prepare data, estimate models, summarize results, and deliver code for model deployment in collaboration with engineering or operations teams.
• Experience using SQL (for example, PL/SQL or similar) to develop queries, scripts, or stored procedures to support automated data collection and model input pipelines.
• Bachelor’s degree or higher in Statistics, Mathematics, Engineering, Finance, Data Science, Computer Science, or related field or equivalent combination of education, related experience and/or military experience.

Benefits

• Fuel Your Life program to support physical, financial, social, and emotional well-being.
• Paid holidays and generous time away policies.
• No-cost mental health support through Employee Assistance Programs.
• Living Proof program to recognize peers’ extra effort with points redeemable for rewards.
• Eight Employee Resource Groups to foster a collaborative culture and expand your network.
• Unparalleled professional growth with training, development, and internal mobility opportunities.
• Medical, dental, vision, life, and disability insurance options available from day one.
• Retirement planning and discounted shares with the Employee Stock Purchase Plan.
• Tuition assistance and reimbursement program.
• Paid parental, caregiver, and military leave.