Reporting Developer III - Data Scientist

Reporting Developer III - Data Scientist Savannah, GA Job Details Full-time 1 day ago Qualifications Computer science Databricks System administration Azure Bachelor's degree in information technology Computer Science Continuous Delivery (CD) implementation Test case design Engineering Data structures Spark Amazon SageMaker Maintenance Data reporting English Application deployment Survival analysis Master's degree System maintenance Technical solutions implementation Outlier detection Bachelor's degree in engineering Bachelor's degree XGBoost Doctor of Philosophy Model deployment Feature extraction Supervised learning Software documentation Experimental design Technical writing Regression analysis IT Presentation creation Agile software development Systems & applications support Data science 1 year Manufacturing Analysis (software development lifecycle) Data visualization Clustering Business requirements Unsupervised learning Machine learning libraries SAP ERP Senior level Cross-functional collaboration Bachelor's degree in computer science Cross-validation Cross-functional team management Manufacturing company experience Data warehouse Project stakeholder communication Python MLOps Stakeholder relationship building Cross-functional communication Stakeholder management Information Technology Full Job Description 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. Education and Experience Requirements Bachelor's Degree in Information Technology, Computer Science, Engineering or relevant curriculum required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 6 years relevant business/technical experience to include three (3) years specific reporting, data analytics, or related technical development/deployment experience. Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience.

Position Purpose :

This is a data and analytics development role within the Gulfstream Business Technology organization for the Enterprise Reporting team. This role directly supports the suite of Gulfstream Enterprise Reporting applications. Responsible for developing requirements, solution development, testing, deployment, and support of enterprise reporting solutions.

Job Description Principle Duties and Responsibilities:

Essential Functions:

Engages stakeholders and technology users in identifying, analyzing, and documenting business requirements. Ensures applications processes are followed consistently and are in compliance with applicable policies, procedures, standards, etc. Performs normal administration tasks and system maintenance for reporting and data analytics applications and solutions. Documents, develops, tests, deploys, and supports reporting and data analytics development using a variety of technical tools in support of business requirements.

Additional Functions:

Conducts briefings and participates in technical meetings concerning specific projects or other activities. . Perform other duties as assigned.

Other Requirements:

Experience with Agile development methodology and working on an agile team preferred. Demonstrated understanding of software development lifecycle methodologies (SDLC). Experience in conducting testing including design and execution of test cases. Demonstrated capability to understand data structures and create effective visualizations and reports that drive business insight and value. Excellent presentation design and delivery skills. Ability to lead/facilitate cross-functional teams and meetings. A credit history check from a national credit bureau will be conducted for all candidates for this position including new hires and current employees seeking promotion or transfer.

This job requires one to be able to read, write, speak, and understand the English language.

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 #LI-HS1 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. Legal Information | Site Utilities | Contacts | Sitemap Copyright © 2025 Gulfstream Aerospace Corporation. All Rights Reserved. A General Dynamics Company. Gulfstream Aerospace Corporation, a wholly-owned subsidiary of General Dynamics (

NYSE:

GD), designs, develops, manufactures, markets, services and supports the world's most technologically-advanced business jet aircraft