Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

 

Summary:

The AI/ML SME will be the Analytic team lead.

Responsibilities

Essential Job Functions:

• Evaluate and assess DEA enterprise data holdings identified as possible data sources.
• Develop AI/ML models/techniques to enrich DEA’s data to achieve advantages towards DEA mission.
• Review/analyze and propose different data scientist techniques and implementations that can be considered and implemented to advance DEA’s data enrichment processes.
• Once any model/technique is identified, trained, and fully tested, the team shall coordinate and facilitate the implementation and maintenance of each model/technique, adjusting and improving as the DEA enterprise data holdings expand.
• Design and implement machine learning or AI models aligned to approved business use cases.
• Select algorithms and training approaches consistent with data type and performance objectives.
• Conduct iterative testing and tuning to achieve required accuracy and performance metrics.
• Document model assumptions, data inputs, and training parameters for reproducibility.
• Conduct independent validation of model results for accuracy, stability, and bias detection.
• Package and deploy the validated model to the designated test or production environment.
• Configure application interfaces, APIs, or automation pipelines required for model operation.
• Conduct functional and security testing to confirm stable integration.
• Establish model monitoring and retraining mechanisms to detect performance drift.
• Develop and deliver comprehensive technical documentation detailing data sources, model design,validation results, and deployment configuration.
• Prepare AI business case summaries that explain model purposes, value proposition, expected outcomes,and return-on- investment (ROI) for leadership decision making.
• Create briefing materials and presentation decks suitable to upper management or executive review.Highlighting business relevance, benefits, and potential integration opportunities.
• Design and implement ETL processes to extract, clean, and standardize source data for model training.
• Data ingestion successful; no errors; data accuracy 60 95%; walkthrough completed and accepted by Gov PM.

Qualifications

Necessary Skills and Knowledge:

• Strong problem-solving skills and ability to plan and deliver technical solutions independently.
• Excellent written and verbal communication skills.
• Ability to manage multiple priorities and deliver under tight deadlines.
• Strong analytical skills and attention to detail.

Minimum Qualifications:

• 5+ years in-depth knowledge of at least one analytical / statistical language (for example: Python, R, and SQL).
• At least 2 years of custom Machine Learning and AI model training (to include supervised and unsupervised) and Natural Language Processing (NLP) expertise focusing on unstructured data.
• Educational background in Data Science, is a plus.
• 3+ years experience with SQL database / coding.
• 2+ years experience with data visualization tools.
• 2+ years experience with the ability to manipulate unstructured data.
• Must have a Secret clearance.

Preferred Qualifications:

• Bachelors degree in a related field.

Pay and Benefits

The salary range for this position is $190,000 to $235,000 annually.

 

At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.