AI & Advanced Analytics Engineer - Clearance Required
Listed on 2026-09-10
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IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Cydecor is a premier Federal Government solutions provider, delivering differentiated innovations in mission systems and business platforms. We leverage leading-edge secure systems and software development, backed by industry-leading subject matter expertise, and business intelligence to enable decision-support and remain ahead of ever-evolving national security challenges. Our success rests squarely on three bedrock principles:
People, our center of gravity;
Mission, what inspires us; and an unyielding commitment to Excellence, what separates us.
Cydecor is seeking an AI & Advanced Analytics Engineer to design, develop, and deploy advanced data science, artificial intelligence, and analytics solutions supporting Science & Technology (S&T) and defense mission analysis. This role focuses on building scalable data pipelines and analytical tools that enable impact analysis of S&T investments on military capabilities within a Federal and Department of the Workforce (DoW) environment.
Responsibilities include:- Design and develop advanced data science tools and analytical solutions supporting S&T and defense capability analysis
- Build and maintain data pipelines for streaming and batch processing to cleanse, standardize, normalize, and enrich incoming datasets
- Develop, train, and deploy artificial intelligence and machine learning models to support analytical use cases
- Conduct impact analysis evaluating the effects of S&T investments on military capabilities
- Apply advanced analytical techniques including clustering, topic modeling, NLP, geospatial analysis, and network analysis
- Develop solutions for entity disambiguation, relationship extraction, bibliometric and citation analysis, and S&T forecasting
- Support automated query generation and advanced data exploration workflows
- Develop and maintain distributed computing codebases using Python, R, and additional analytical programming languages
- Collaborate with stakeholders to translate mission requirements into scalable analytics solutions
- Document methodologies, models, and code in accordance with Federal standards and best practices
- Five (5) years of experience in data science
- Two (2) years of experience developing data science tools supporting S&T and defense capabilities
- Two (2) years of experience developing data science tools to perform impact analysis of S&T investments on military capabilities in or for a Department of the Workforce (DoW) organization
- Experience developing data pipelines for streaming and batch processing to support data cleansing, standardization, normalization, and enrichment
- Proficiency in designing and implementing artificial intelligence and machine learning models
- Experience in at least three (3) of the following analytical areas:
- Clustering and topic modeling
- Automated query generation
- Natural language processing (NLP) of unstructured data
- Geospatial analysis
- Entity disambiguation
- Network analysis
- Bibliometric and citation analysis
- Econometric analysis
- Relationship extraction
- Science & Technology (S&T) forecasting
- Experience developing code for distributed computing using Python, R, and at least two to four additional comparable programming languages
- Bachelor’s degree from an accredited college or university in Mathematics, Statistics, Operations Research, or a related field
- Experience with Elastic Search/Kibana, Neo4j, and similar cloud-based data environments
- Experience supporting Federal or defense-focused analytics programs
- Active Secret Clearance
- Bachelor’s degree from an accredited college or university in Mathematics, Statistics, Operations Research, or a related field preferred
- Hybrid
The projected…
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