Job Requirements
Remote Arlington, VA
Clearance Unspecified Polygraph not specified
Senior Level Career (10+ yrs experience)
Salary not specified
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Job Description
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
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
group id: 10491343