AI & Advanced Analytics Engineer - Clearance Required

Cydecor; Arlington (VA); Hybrid; USD 130,000 - 184,000; Full time

Benefits offered by this job

Health and Dental Insurance

Vision and Life Insurance

401(K) + company match

Paid Time Off (PTO)

Paid Company Holidays

Tuition and Professional Development

Job summary

Cydecor is seeking an AI & Advanced Analytics Engineer to design, develop, and deploy AI, analytics, and data science solutions supporting S&T and defense mission analysis.

The role focuses on scalable data pipelines, model development, and impact analysis of investments on military capabilities within a Federal environment. Hybrid work is offered with a strong emphasis on secure systems and compliance.

Qualifications

• 5 years of experience in data science.
• 2 years developing data science tools supporting S&T and defense capabilities.
• Experience with data pipelines for streaming and batch processing.

Responsibilities

• Design and develop advanced data science tools and analytical solutions for S&T and defense capability analysis.
• Build and maintain data pipelines for streaming and batch processing.
• Develop, train, and deploy AI/ML models for analytical use cases.
• Conduct impact analysis of S&T investments on military capabilities.
• Apply clustering, topic modeling, NLP, geospatial, and network analysis.

Skills

Data science

AI/ML development

Python

R

NLP

Geospatial analysis

Education

Bachelor's degree in Mathematics, Statistics, Operations Research, or related field

Tools

Elastic Search/Kibana

Neo4j

Cloud-based data environments

Job description

AI & Advanced Analytics Engineer - Clearance Required

dental insurance, life insurance, paid time off, 401(k)

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.

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:

• 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

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/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.

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