Staff Analytics Engineer (AI & Predictive)

What you'll do

• Develop and productionize predictive models and agentic AI workflows, including monitoring, drift detection, and retraining.
• Build Databricks-native applications, dashboards, workflows, and data/ML services or APIs.
• Own end-to-end ML and data products, provide production support, and influence technical standards across teams.

What they ask for

• 5+ years of hands-on experience in data science, applied machine learning, or ML engineering, with ownership of production systems.
• Strong proficiency in Python and deep experience with traditional ML techniques.
• Proven experience building and deploying ML models in production environments.
• Hands-on Databricks experience, including application development; understanding of feature engineering, model evaluation, and explainability.

Nice to have

• Experience designing agentic AI systems or autonomous decision-making workflows.
• Familiarity with Lakehouse architectures, feature stores, ML lifecycle management, MLOps, CI/CD, or cloud platforms.

Pay

$148,200.00 - $222,200.00 USD base salary

Tools

Python, Databricks, AWS

AI focus

Develops traditional predictive ML models and agentic AI systems, including workflows that combine data access, model inference, decision logic, and actions.