SATSYIL CORP — RECRUITMENT REQUISITION
ONR Comptroller''s Office (Code 08), Data & Analytics Division
Positions open | 4 Key Personnel: Data Scientist, DevSecOps Engineer, Software Engineer, Web Software Developer |
Clearance (ALL roles) | U.S. Citizen + active SECRET clearance required |
1. Data Scientist — Key Personnel
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 (resume must demonstrate)
● 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 (from PWS Task Areas)
● 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.
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