AI & Advanced Analytics Engineer - Clearance Required

Job Description 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 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 Qualifications 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 Bonus Points If You Have 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 Security Clearance Active Secret Clearance Education Bachelor’s degree from an accredited college or university in Mathematics, Statistics, Operations Research, or a related field preferred Work Schedule Hybrid Compensation and Benefits The projected compensation range for this position is $130,000-$184,000. Cydecor offers a comprehensive compensation package including Health and Dental Insurance, Vision and Life Insurance, Short-Term & Long-Term Disability, 401(K) + company match, Paid Time Off (PTO), Paid Company Holidays, Tuition and Professional Development Assistance and more. Equal Employment Opportunity Statement Cydecor is an Equal Employment Opportunity/Affirmative Action Employer (EEO/AA). All employment and hiring decisions are based on qualifications, merit, and business needs without regard to race, religion, color, sexual orientation, nationality, gender, ethnic origin, disability, age, sex, gender identity & expression, veteran status, marital status, or any other characteristic protected by applicable law. #J-18808-Ljbffr International Executive Service Corps