Job Description Help for Job Description. Opens a new window. Must have the following in order to apply: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related technical field Five (5) years of experience
Preferred Qualifications:
Master's or PhD in Data Science, Computer Science, AI, Mathematics, Operations Research, or a related field preferred Ten (10)+ years of experience in data science, analytics, and 5 years of applied AI, including leadership of complex technical teams Prior experience supporting DOW, or Intelligence Community customers Experience operating in multi-enclave environments
Skills:
Demonstrated experience designing and delivering advanced analytics and AI/ML solutions in operational or mission-critical environments Foundation in:
- Statistical analysis and machine learning
- Model evaluation and performance metrics
- Data exploration, visualization, and storytelling Experience working with large, complex, and disparate datasets in secure or regulated environments Familiarity with AI/ML development lifecycles, including experimentation, validation, deployment, and monitoring Proven ability to communicate complex technical concepts to non-technical senior leaders
Required Screenings:
Employer will discuss.
Job Description:
Seeking a Chief Data Scientist to provide technical leadership and strategic direction for a large-scale digital, data, and artificial intelligence (AI) program supporting the DOW. This role is responsible for shaping, governing, and delivering advanced analytics and AI/ML capabilities that translate mission challenges into measurable operational advantage. The Chief Data Scientist serves as the senior authority for data science, analytics, and applied AI, ensuring technical excellence, Responsible AI compliance, and alignment with client priorities across the full digital lifecycle—from data readiness and experimentation to operational deployment. Domestic and international travel may be required. Serves as the senior technical authority for data science, analytics, and AI/ML, setting strategy aligned with enterprise and Responsible AI policies Establishes standards and best practices for analytics, modeling, experimentation, validation, and AI operationalization Leads development of descriptive, diagnostic, predictive, and prescriptive analytics using structured and unstructured data Directs AI/ML modeling and experimentation, including machine learning, Natural Language Processing (NLP), computer vision, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), with rigorous validation and performance measurement Ensures analytics and AI solutions are explainable, actionable, and aligned with mission and end-user decision needs Works closely with engineering, product, cybersecurity, and DevSecOps teams to transition models into secure, accredited operational systems Ensures compliance with data strategies, Responsible AI principles, security, privacy, and governance requirements, including Risk Management Framework (RMF)/ATO support Acts as a trusted technical advisor to Government leadership and mission stakeholders, supporting reviews, demonstrations, and decision briefings Partners with product managers to ensure analytics and AI solutions deliver measurable mission value and enterprise-wide impact Provides technical oversight, mentorship, and leadership to data science teams, fostering rigor, innovation, documentation, and long-term sustainability
Work Environment:
Will be discussed with applicant.
Hiring Process:
Apply via company website. In order to apply to this position, please click "Apply" located at the top of the job order page, and you will receive the employer contact information. Employer has indicated the means listed are the only means they will accept to apply.
Days & Hours:
Full Time position; 40 hours per week. Complete work schedule will be discussed with applicant.
Pay:
$190,000 to $210,000 per year; depends on experience. Benefits are offered. Veterans Preference Equal Opportunity Employer
