Experienced Data Scientist (Level 3)

Quick Facts

• Role: Experienced Data Scientist (Level 3)

Description

You will envision, develop, and implement optimized supply chain and fleet/entity analytics solutions. The role includes end-to-end ownership of data pipelines, ML models, backend services, frontend dashboards, and integrations—then productionizing forecasting, demand-sensing, and inventory/fleet optimization models via APIs and UI components. You will also build telemetry ingestion and scenario-planning tools with explainability, governance, and a complete production ML lifecycle.

Responsibilities

• Design, implement, and operate data pipelines, ML models, backend services, frontend dashboards, and integrations for SIOP and fleet/entity analytics.

• Build and productionize forecasting, demand-sensing, and inventory/fleet optimization models; expose results via APIs and UI components.

• Ingest and preprocess fleet telematics plus ERP/MRP, maintenance systems (EAM/CMMS), and external market/competitive data.

• Create interactive scenario-planning tools and visualizations for SIOP and program decision reviews, enabling what-if simulation and model explainability.

• Implement role-based access, data lineage, and governance for sensitive datasets; ensure data quality and reproducibility.

• Containerize, deploy, and monitor services with CI/CD, observability, and automated testing.

• Implement model monitoring, drift detection, retraining pipelines, and feature stores for production ML lifecycle.

• Translate business questions into technical solutions and measure impact (forecast accuracy, inventory reduction, fleet readiness).

• Mentor engineers and analysts; promote best practices for reproducible notebooks, modular code, testing, and documentation.

Requirements

• 4+ years of experience in Data Science

• 2+ years of experience with Python

• 2+ years of experience with SQL for extracting and aggregating data

• 5+ years of data visualization experience, with the ability to create clear charts and dashboards

• 3+ years of model evaluation experience (metrics, cross-validation, bias/variance trade-off, calibration)

• Must meet U.S. export control compliance requirements as a “U.S. Person” (22 C.F.R. 120.62)

Benefits

• Competitive base pay and variable compensation opportunities

• Health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and programs providing paid/unpaid time away (eligibility varies)

• Summary pay range: $106,000 - $151,000

• Relocation assistance is not offered

• Visa sponsorship is not provided