Data scientist jobs in Atlanta, GA

About the role

Ready to take your career global? We are seeking a hands-on Lead Risk Data Scientist & ML Engineer to own the full lifecycle of fraud detection and risk models. This role combines deep data science expertise with practical AI/agentic workflow experience and the infrastructure knowledge needed to ship at scale. In this role, you'll own the end-to-end delivery of detection models and AI-assisted workflows that power fraud, credit, and AML risk operations. You'll drive model performance through the full lifecycle, from design and validation through production deployment and continuous optimization. You'll translate regulatory requirements and operational needs into detection strategies and technical execution plans, partner across Risk, Compliance, and Technology to ensure alignment, and lead project teams through complex, ambiguous detection challenges. This is a hands-on role that combines deep technical leadership with pragmatic problem-solving in a small, high-impact team.

What you'll bring

• This role combines deep data science expertise with practical AI/agentic workflow experience and the infrastructure knowledge needed to ship at scale.
• 7+ years in data science, machine learning or MLOps
• Proven experience developing, deploying, and maintaining detection models (fraud, AML, or credit risk) in production environments
• Hands-on experience with AI-assisted workflows, LLMs, and agentic frameworks (including pilot-stage deployments)
• Exposure to model risk management frameworks (SR 11-7) and regulatory interactions
• Strong proficiency in Python and SQL
• MLOps experience: Git, GitHub Actions, CI/CD practices, model monitoring, retraining pipelines, infrastructure automation
• Hands-on experience with data science platforms (Databricks, Snowflake, AWS SageMaker)
• AWS ecosystem expertise: SageMaker, Glue, Lambda, EventBridge, and related services
• Familiarity with LLM and agentic frameworks: foundational models (Claude, GPT, etc.), agent orchestration tools (AWS AgentCore, LangChain, etc.)
• Understanding of fraud typologies, AML transaction monitoring methodologies, and detection system design
• Leadership Profile