Java software developer Jobs in Savannah, GA

Reporting Developer III - Data Scientist in GAC Savannah

Unique Skills:

General:

• Minimum 3 years experience in Data Science
• Programming: Python for ML and data engineering; strong modular coding practices, packaging, unit testing (pytest).
• Databricks (Azure) or Microsoft Fabric or AWS Sagemaker: Hands‑on experience with Lakehouse / Warehouse patterns, Spark DataFrames, MLflow for experiment tracking, model registry, and jobs/workflows.
• ML Tooling: Scikit‑learn, XGBoost/LightGBM, statsmodels; feature engineering at scale; model selection, cross‑validation, hyperparameter tuning; robust performance diagnostics (ROC/AUC, PR, F1, lift, residual/error analysis).
• Data Ops & MLOps: MLflow, model packaging, job orchestration, CI/CD for notebooks/repos.

Machine Learning Expertise

• Classical ML focus (non‑GenAI): Time‑series forecasting (ARIMA/SARIMA/ETS/Prophet, gradient boosting for forecast blending), supervised learning (classification, regression), unsupervised learning (clustering, anomaly detection), survival/reliability analysis, and design‑of‑experiments (DOE).
• Feature engineering: Lag/lead features, calendar/maintenance cycles, treatment of missingness/outliers, and robust scaling for heteroscedastic industrial data. Synthetic data generation.
• Evaluation in production contexts: Cost‑sensitive metrics (false‑alarm vs miss costs), and explainability suitable for engineering review boards. Optimization of Type 1 vs. Type 2 errors.

Manufacturing & Aerospace Domain (Preferred)

• Industrial analytics: Experience with predictive maintenance, condition‑based monitoring, yield/throughput improvement, quality/defect analytics, SPC, first‑pass yield, and takt‑time bottleneck analysis in complex discrete manufacturing.
• Aerospace value chain: Practical familiarity with E2E flows: design → supply chain → assembly → test/flight → field operations & MRO; interpreting sensor/telemetry (AHTMS), maintenance logs, and part lifecycle histories.
• ERP/MES/PLM context: Working knowledge of SAP/ERP data constructs (orders, routings, WIP, inventory), MES event logs, and engineering change impacts on data semantics.

Collaboration, Communication & Leadership

• Stakeholder engagement: Translate business problems into solvable ML formulations; quantify expected value; define acceptance criteria.
• Cross‑functional teaming: Close collaboration with Data Engineering (ETL, CDC, quality, security) and Citizen Data Scientists for enablement and review cycles.
• Documentation & training: Produce clear technical docs, model cards, and operational runbooks; coach citizen developers.

Additional Information

Requisition Number: 230960

Category: Information Systems

Percentage of Travel: Up to 25%

Shift: First

Employment Type: Full-time

Posting End Date: 03/21/2026

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Gulfstream does not provide work visa sponsorship for this position, unless the applicant is a currently sponsored Gulfstream employee.

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