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Data Scientist

Satsyil Corporation

Hybrid in Arlington, Virginia • 9d ago

Easy Apply

Full-time

Depends on Experience

Data Scientist

SPA

Remote or Alexandria, Virginia • Today

Full-time

USD 95,000.00 per year

Data Scientist

Leidos

Alexandria, Virginia • Today

Full-time

USD 92,300.00 - 166,850.00 per year

Data Scientist

SPA

Washington, District of Columbia • Today

Full-time

USD 90,000.00 per year

Data Scientist

Navigant Consulting

Bethesda, Maryland • Today

Full-time

USD 65,000.00 - 108,000.00 per year

Data Scientist

Base-2 Solutions, LLC

Bethesda, Maryland • Today

Full-time

Data Scientist

Navigant Consulting

Arlington, Virginia • Today

Full-time

Data Scientist

Razor Talent

Springfield, Virginia • 4d ago

Full-time

USD 145,000.00 - 180,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

McLean, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 99,000.00 - 225,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Avalore, LLC

Arlington, Virginia • Today

Full-time

USD 89,000.00 - 202,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Deloitte

Arlington, Virginia • 7d ago

Full-time

USD 97,700.00 - 162,800.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in Arlington, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Business Management Associates

Washington, District of Columbia • 26d ago

Full-time

USD 100,000.00 per year

Data Scientist

Booz Allen Hamilton

Hybrid in McLean, Virginia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

CACI International, Inc.

Alexandria, Virginia • Today

Full-time

USD 94,400.00 - 198,200.00 per year

Data Scientist

Leidos

Springfield, Virginia • Today

Full-time

USD 92,300.00 - 166,850.00 per year

Data Scientist

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Data Scientist

Booz Allen Hamilton

Washington, District of Columbia • Today

Full-time

USD 77,600.00 - 176,000.00 per year

Job Details

Skills

Advanced Analytics
Algorithms
DoD
Data Science
R
Python
Data Visualization
Natural Language Processing
Artificial Intelligence
Databricks
Machine Learning (ML)
Statistical Models

Summary

1. Data Scientist

Labor Category: Data Scientist – Senior

Clearance: U.S. Citizen with active SECRET clearance (required).

Position Summary

Design, develop, and deploy advanced analytics and AI/ML models against commercial Science & Technology (S&T) data to enable data-driven S&T portfolio decisions for the ONR Comptroller's Data & Analytics Division. Works directly with Government expert analysts to answer strategic questions and turn data into insight.

A. Minimum Qualifications

Ten (10) years developing and deploying analytical models for S&T or business requirements within a DoW/DoD organization.
Ten (10) years in data science: statistical analysis, predictive modeling, machine learning, and algorithm development using Python, R, and SQL.
Ten (10) years in data wrangling and building data pipelines (batch and streaming), ETL, and integrating structured and unstructured data from multiple sources.
Experience on at least two (2) distinct projects applying advanced analytics (e.g., NLP, Network Analysis, Bibliometric Analysis) to S&T portfolio data.
Ten (10) years using data visualization tools (Tableau, Power BI, matplotlib) to communicate findings to stakeholders.
Five (5) years with big data technologies and cloud-based analytics platforms.
Five (5) years applying operational analytics relevant to workforce, logistics, or readiness missions.
Verifiable experience designing and deploying data solutions compliant with federal data security and governance frameworks (NIST SP 800-53, FISMA, DoD RMF).

B. On-Contract Responsibilities

Identify, acquire, and curate relevant commercial S&T data sets (publications, grants, patents, startup investment activity, company details, informal S&T literature) and engage directly with ONR expert analysts.
Develop and deploy advanced analytics — predictive, prescriptive, descriptive, and cognitive/statistical/modeling methods — plus dashboards and AI/ML models in collaboration with ONR stakeholders.
Build ML/AI models including Natural Language Processing (NLP) to analyze unstructured text, using platforms such as AWS SageMaker or Azure Machine Learning.
Support a robust data quality program (profiling, cleansing, enrichment, stewardship) and automated quality checks at ingestion to flag anomalies, schema drift, or corrupted inputs.
Automate reports and configure dashboards providing real-time insight into global research trends; support onboarding and training toward a data-literate workforce.
Support Automated MLOps: monitor deployed models for data drift/model decay, trigger automated retraining when accuracy drops below baseline, and maintain a version-controlled Model Registry

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10491343
Position Id: 9125630
Posted 9 days ago

Fitment

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Contact the job poster

Venugopal Ankinapalli

President @ Satsyil Corporation

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Job Details

Skills

Advanced Analytics
Algorithms
DoD
Data Science
R
Python
Data Visualization
Natural Language Processing
Artificial Intelligence
Databricks
Machine Learning (ML)
Statistical Models

Summary

1. Data Scientist

Labor Category: Data Scientist – Senior

Clearance: U.S. Citizen with active SECRET clearance (required).

Position Summary

A. Minimum Qualifications

Ten (10) years developing and deploying analytical models for S&T or business requirements within a DoW/DoD organization.
Ten (10) years in data science: statistical analysis, predictive modeling, machine learning, and algorithm development using Python, R, and SQL.
Ten (10) years in data wrangling and building data pipelines (batch and streaming), ETL, and integrating structured and unstructured data from multiple sources.
Experience on at least two (2) distinct projects applying advanced analytics (e.g., NLP, Network Analysis, Bibliometric Analysis) to S&T portfolio data.
Ten (10) years using data visualization tools (Tableau, Power BI, matplotlib) to communicate findings to stakeholders.
Five (5) years with big data technologies and cloud-based analytics platforms.
Five (5) years applying operational analytics relevant to workforce, logistics, or readiness missions.
Verifiable experience designing and deploying data solutions compliant with federal data security and governance frameworks (NIST SP 800-53, FISMA, DoD RMF).

B. On-Contract Responsibilities

Identify, acquire, and curate relevant commercial S&T data sets (publications, grants, patents, startup investment activity, company details, informal S&T literature) and engage directly with ONR expert analysts.
Develop and deploy advanced analytics — predictive, prescriptive, descriptive, and cognitive/statistical/modeling methods — plus dashboards and AI/ML models in collaboration with ONR stakeholders.
Build ML/AI models including Natural Language Processing (NLP) to analyze unstructured text, using platforms such as AWS SageMaker or Azure Machine Learning.
Support a robust data quality program (profiling, cleansing, enrichment, stewardship) and automated quality checks at ingestion to flag anomalies, schema drift, or corrupted inputs.
Automate reports and configure dashboards providing real-time insight into global research trends; support onboarding and training toward a data-literate workforce.
Support Automated MLOps: monitor deployed models for data drift/model decay, trigger automated retraining when accuracy drops below baseline, and maintain a version-controlled Model Registry

Dice Id: 10491343
Position Id: 9125630
Posted 9 days ago

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