Data Scientist - AI / Python Developer

Fiserv•Columbus, OH

1d•Onsite

About The Position

Calling all innovators – find your future at Fiserv. We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Data Scientist - AI / Python Developer About your role: You will help protect the organization through data-driven intelligence and applied machine learning. You will design, develop, and operationalize AI capabilities that improve visibility, streamline detection workflows, and enable faster decision-making across the cybersecurity ecosystem. This role combines modern Python engineering, advanced analytics, and responsible AI practices to strengthen security outcomes at scale.

Requirements

5+ years of Python development experience, including building production-ready applications or automation pipelines.
3+ years of machine learning experience using frameworks such as scikit-learn, TensorFlow, or PyTorch.
3+ years building or supporting data pipelines, ETL workflows, or distributed data processing (e.g., Spark, Databricks).
Experience integrating machine learning components into production systems or enterprise platforms.
Strong understanding of algorithms, statistical methods, and machine learning evaluation techniques.
Experience with cloud services such as GCP, AWS, or Azure.
6–10 years of an equivalent combination of educational background, related experience, and/or military experience.

Nice To Haves

Hands-on experience developing ML models for NLP, anomaly detection, clustering, or graph analytics in security contexts.
Exposure to MLOps and model governance tooling (e.g., MLflow, Kubeflow, SageMaker, Databricks, Azure ML).
Experience building or integrating APIs, microservices, or automation frameworks in cybersecurity environments.
Understanding of MITRE ATT&CK, threat intelligence workflows, or adversary behavior modeling.
Experience working with cybersecurity telemetry/datasets (SIEM logs, EDR alerts, identity events, network flow data, vulnerability data).
Familiarity with threat detection, behavior analytics, identity security, or risk scoring concepts.
Experience with security tools/platforms (e.g., Splunk, CrowdStrike, Tanium, Sentinel, Chronicle).
Background in the financial services industry.
Relevant certifications (e.g., Security+, CySA+, AWS Machine Learning Specialty, GCTI, or other data/AI/cyber credentials).

Responsibilities

Build and maintain Python-based AI and machine learning applications supporting threat detection, risk scoring, operational analytics, and intelligent automation.
Develop reusable Python modules, APIs, and services for cyber data ingestion, feature engineering, and model execution.
Partner with cybersecurity engineering, threat analysts, and platform teams to operationalize ML pipelines within enterprise data platforms and security tooling.
Analyze structured and unstructured cybersecurity data (logs, alerts, network telemetry, identity data, behavioral signals) to generate insights and identify automation and detection improvements.
Evaluate, validate, tune, and monitor models to meet performance, reliability, and governance requirements.
Apply MLOps practices to support model lifecycle management, monitoring, and versioning in controlled environments.
Document technical designs, workflows, and processes to support transparency, reproducibility, and operational readiness.
Perform other duties as assigned; responsibilities may be modified as necessary.

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 your peers’ extra effort with points used for rewards.
Eight Employee Resource Groups to foster a collaborative culture.
Unparalleled professional growth with training, development, and internal mobility opportunities.
Retirement planning and discounted shares with the Employee Stock Purchase Plan.
Medical, dental, vision, life, and disability insurance options available day one.
Tuition assistance and reimbursement program.
Paid parental, caregiver, and military leave.