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Data Scientist III at WARRANT TECHNOLOGIES

Crane, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, Machine Learning, Data Engineering, Data Mining, Data Visualization, ETL Pipelines, API-Based Data Ingestion, Model Validation, Python, R, Pandas, NumPy, Jupyter, SQL, NoSQL, Operations Research

Industry

Description

Description The Data Scientist III leads advanced analytics efforts that transform large structured and unstructured datasets into mission-relevant insight for NSWC Crane stakeholders. This role develops and applies statistical, machine learning, and data-engineering approaches to support decision-making, technical assessments, and operational planning. The Data Scientist III also guides data pipeline architecture, analytic model governance, and stakeholder-ready reporting products. This position is contingent upon award. Award is expected around the end of the year (2026). Requirements Master’s degree - 10+ years of professional experience in data science. - Demonstrated capability applying data mining, statistical analysis, machine learning, and visualization techniques to large datasets. - Experience with modern data tooling and platforms for data extraction, transformation, analysis, and reporting. - Strong understanding of mathematical/statistical foundations and model performance evaluation. - Ability to produce concise technical documentation, analytic products, and executive summaries for government review. - Active DoD Secret clearance (or clearable to that level) required due to support for classified programs and facilities. Demonstrated success delivering production-ready analytics in DoD/Navy environments with strict security and data-governance constraints. - Strong proficiency with Python/R data science ecosystems (e.g., Pandas, NumPy, Jupyter) and SQL/NoSQL workflows. - Experience designing ETL pipelines, API-based data ingestion, and reproducible model validation practices. - Ability to communicate complex findings clearly to technical and non-technical leadership audiences. - Familiarity with operations research methods and mission-focused analytical trade studies.

Responsibilities

The Data Scientist III leads advanced analytics efforts, transforming large datasets into mission-relevant insights for NSWC Crane stakeholders using statistical, machine learning, and data-engineering approaches. This role also guides data pipeline architecture, analytic model governance, and the creation of stakeholder-ready reporting products.