Data Scientist - Mid

Nalley Consulting, Llc; Washington (District of Columbia); On-site; USD 120,000 - 180,000; Full time

Job summary

Nalley Consulting, Llc is seeking a Data Scientist for on-site work at DIA HQ in Washington, DC. The role requires an active TS/SCI clearance with CI poly and a strong background in data science, analytics, or related fields.

Ideal candidates have a bachelor's degree or 4+ years of direct data science experience and demonstrated ability to work in teams, with excellent communication skills and experience evaluating AI/ML models.

Qualifications

• Experience in data science/engineering/analytics, statistics, computer science, or related fields.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills and demonstrated experience collaborating in teams.
• Experience in testing and evaluation of AI/ML models.
• Experience supporting DoW and/or IC clients.
• TS/SCI clearance and current CI Polygraph.

Education

Bachelor’s degree or 4+ years of direct experience

Job description

Join the Nalley Consulting team as a Data Scientist.

Position: Data Scientist

LCAT: Mid

Location: DIA HQ,Joint Base Anacostia Bolling, Washington, DC

Shift: No

Start time: Successful candidates will be able to start immediately on unclassified work while in clearance crossover.

Required clearance: Active TS/SCI clearance with active CI poly conducted within the past seven years

Required education: Bachelor's degree or 4+ years of direct data science experience

Required Qualifications

• Experience in data science/engineering/analytics, statistics, computer science, or related fields
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal skills and demonstrated experience collaborating in teams
• Experience in or ability to perform testing and evaluation of AI/ML models
• Experience supporting DoW and/or IC clients
• TS/SCI clearance and current CI Polygraph
• Bachelor's degree or 4+ years of direct experience

Desired qualifications

• Degree in quantitative social science, statistics, data science, or computer science
• Experience with LLMs
• Experience performing or supporting all-source analysis