Sr. Data Scientist

Arcfield, Inc.
Crane, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 132K

Job location

Crane, United States of America

Tech stack

Big Data
Cloud Computing
Data Infrastructure
ETL
Data Mining
Data Security
Data Visualization
Python
Machine Learning
NoSQL
NumPy
Operational Data Store
Power BI
TensorFlow
SciPy
SQL Databases
Tableau
Unstructured Data
Enterprise Data Management
Data Ingestion
PyTorch
Model Validation
Pandas
Information Technology
Api Design
Data Pipelines

Job description

  • Lead the development and implementation of advanced analytics techniques, including machine learning, statistical modeling, and data mining, to generate insights from structured and unstructured datasets.
  • Design, build, and maintain end-to-end data pipelines, including ETL (Extract, Transform, Load) processes and API-based data ingestion workflows, ensuring scalability and compliance with security protocols.
  • Guide the governance and validation of analytic models, implementing best practices in model reproducibility and performance evaluation.
  • Communicate complex analytic findings to both technical and non-technical audiences through concise, clear visualizations, reports, and presentations.
  • Collaborate with NSWC Crane stakeholders to understand mission needs, translate them into analytical questions, and deliver high-impact solutions.
  • Produce high-quality technical documentation, analytic products, and executive summaries for review by government stakeholders.
  • Stay current with emerging data science methodologies, tools, and best practices, and apply them to enhance NSWC Crane's mission capabilities.

Requirements

The ideal candidate will have strong expertise in data science methodologies, proficiency with modern data platforms and tools, and a proven track record of delivering production-ready analytics in defense or government environments., * BS 12-15, MS 10-13, PhD 10+ in a relevant field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline (per eCRAFT Data Scientist III labor category).

  • Must possess an active DoD Secret clearance, with the ability to obtain a TS clearance.
  • 10+ years of professional experience in data science or advanced analytics.
  • Proven ability to apply data mining, statistical analysis, machine learning, and data visualization techniques to large datasets.
  • Strong proficiency in Python, R, and associated data science libraries (e.g., Pandas, NumPy, SciPy, TensorFlow, PyTorch) as well as SQL/NoSQL tools and workflows.
  • Experience with designing and maintaining data pipelines, ETL processes, and reproducible model validation frameworks.
  • Demonstrated understanding of statistical methods, mathematical reasoning, and model performance evaluation.
  • Familiarity with enterprise data platforms, cloud-based analytics, and operational data systems in government/DoD settings.
  • Experience with operations research methodologies or conducting mission-related analytical trade studies.
  • Strong communication and storytelling skills to effectively deliver insights to diverse audiences, including technical teams, leadership, and government stakeholders.
  • Experience working within DoD/Navy environments and with strict security and data-governance constraints.

Preferred Skills and Experience:

  • Familiarity with DoD/Navy mission-related analytics in areas such as electronic warfare (EW), tactical operations, or advanced systems assessments.
  • Experience building operational dashboards, conducting trade studies, or implementing mission-focused data analytics solutions.
  • Proficiency in modern visualization tools (e.g., Tableau, Power BI, ggplot).
  • Knowledge of secure data-handling practices and compliance requirements in DoD environments (e.g., RMF guidelines).

Benefits & conditions

This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield 's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.Min: $131,831.56Max: $316,789.28 EEO Statement

We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.

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