SME Functional Lead - Data Science
Position Summary
The SME Functional Lead for the Data Science Branch (HDNGE) will lead the development and delivery of training programs focused on data science concepts, methodology, and applications. This role emphasizes training in computational thinking, programming, statistics, and data visualization. The SME will guide NGA and Intelligence Community (IC) personnel in building critical data skills necessary for thriving in a data-centric environment. Additionally, the SME will oversee course design and delivery for instructor-led and mobile training programs.
Note: this position is contingent upon contract award.
Location: Springfield, VA
Schedule (FT/PT): Full Time
Travel Required: 23% travel CONUS and OCONUS
Shift: Day Shift
Remote Type: No Remote
Security Clearance: Current TS/SCI
Polygraph: Counterintelligence Polygraph (Preferred)
Primary Duties and Responsibilities:
Lead the design, development, and instruction of courses in data science, including computational thinking, data analysis, statistics, programming, and data visualization.
Provide expert-level training in machine learning, data modeling, and advanced algorithmic techniques such as deep learning and neural networks.
Manage Mobile Training Teams (MTTs) to deliver data science education globally, including NGA facilities and remote training locations.
Guide the development of training programs to enhance the workforce's ability to leverage data science and AI/ML tools in decision-making processes.
Collaborate with government stakeholders to ensure alignment between data science curriculum and mission needs.
Maintain travel forecasts, manage logistics, and provide status updates on expenditures during monthly PMR meetings with the government.
Ensure course content stays current with emerging data science trends, tools, and methodologies.
Minimum Qualifications
Current TS/SCI Clearance
Counterintelligence Polygraph (Preferred)
National Geospatial-Intelligence College (NGC) Instructor Certification (Preferred)
Bachelor's or Master's degree in data science, mathematics, statistics, computer science, or a related field.
10+ years of experience in data science, including data manipulation, statistical analysis, machine learning, and data visualization.
Strong proficiency in programming languages such as Python, R, or SQL and data science tools.
Expertise in machine learning algorithms, deep learning models, and AI tools.
Experience developing and delivering data science training programs, particularly within NGA, DoD, or the Intelligence Community.
Salary Range
Contact: recruiting@darkstarintel.com for information regarding the salary range for this proposal effort.
About DarkStar Intelligence
DarkStar Intelligence is a Service-Disabled Veteran-Owned Small Business (SDVOSB). We are dedicated to advancing mission support and tradecraft development for our clients while emphasizing employee retention and client satisfaction. We deliver high-quality, intelligence-based solutions grounded in our "Core Four" values: humility, passion, agility, and ownership. Our team members embody humility by prioritizing the mission over personal recognition, bringing passion through relentless enthusiasm for problem-solving and innovation. With agility, they adapt swiftly to changing mission requirements and excel in team dynamics. Above all, our personnel take full ownership of their work, holding themselves accountable to deliver results and uphold the highest standards of excellence. We strive to make our country safer and create a lasting impact through these values.
Our Commitment to Diversity and Inclusion
At DarkStar Intelligence LLC, we believe that Equal Employment Opportunity (EEO) is not just a policy but a core value that defines our approach to building a diverse, inclusive, and respectful workplace. We are committed to fostering an environment where everyone is valued based on their skills, abilities, and qualifications and where employment decisions are made solely on merit.
We uphold a zero-tolerance stance on discrimination of any kind. Our commitment ensures that no one is discriminated against based on race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Our EEO principles are embedded in every facet of the employment process-from recruitment and hiring to promotions, transfers, training, and career development. We also apply this commitment to maintaining an inclusive work environment, equitable compensation and benefits, fair performance evaluations, and respectful terminations. At DarkStar Intelligence, diversity and inclusion are more than policies; they are essential to who we are and how we operate.
EEO Flyer: shorturl.at/abpNX
Employee Benefits
At DarkStar Intelligence LLC, we believe investing in our employees means providing a comprehensive benefits package designed to support their personal and professional well-being. We offer a variety of benefits to meet the diverse needs of our team:
Core Benefits:
Health Coverage: Medical, Dental, and Vision plans to ensure you and your family access essential care.
Income Protection: Life Insurance, Short-Term Disability, and Long-Term Disability to give you peace of mind.
Retirement Planning: A 401(k) plan to help you build a secure financial future.
Work-Life Support: Employee Assistance Program (EAP) and Legal Services for added support whenever needed.
Paid Time Off: Generous PTO, 11 paid Federal Holidays, plus a Floating Holiday to celebrate what matters most to you.
Voluntary Benefits:
Identity & Legal Protection: LegalShield and IDShield protect your identity and provide access to legal resources.
Additional Coverage: Whole Life Insurance, Accident Insurance, and Critical Care Insurance for extra protection and peace of mind.
At DarkStar Intelligence, we are committed to providing benefits that empower you to thrive inside and outside the workplace. We value your contributions and strive to ensure you feel supported every step of the way.
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