Data Scientist - AI / Python Developer

FiservColumbus, OH
1dOnsite

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.
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