Data Scientist 2 (AI/ML)

Location: Annapolis Junction, Maryland, United States

Salary: $115,000–$145,000 USD annually

Company

hirify.global delivers mission and technical expertise for national security, technology, and defense challenges.

What you will do

• Devise strategies for extracting meaning and value from large NSA/CSS datasets.
• Develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing datasets in varied states of organization, cleanliness, and structure.
• Apply statistical analysis, analytic modeling, programming, and other scientific methods to support data-driven conclusions.
• Translate mission needs and analytic questions into technical requirements and help stakeholders interpret analytical results.
• Evaluate competing technical solutions while accounting for evolving collection, processing, storage, and analytics capabilities.
• Communicate complex technical information and principled recommendations to non-technical audiences.

Requirements

• Bachelor’s degree in mathematics, statistics, machine learning, data science, operations research, computer science, engineering, physical sciences, or a related computational discipline, plus 3 years of relevant experience; alternatively, an associate degree plus 5 years of relevant experience.
• Relevant experience with machine learning, data science, analytical algorithms, programming, statistical analysis, data management, data mining, data modeling, artificial intelligence, or software engineering.
• Proficiency in Python or another high-level programming language.
• Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.
• Active TS/SCI clearance with a polygraph required.

Culture & Benefits

• Medical, dental, and vision coverage.
• Health Savings Account with a company contribution.
• Annual paid time off, paid holidays, and paid parental leave.
• 401(k) with a company match.
• Training and development opportunities, award programs, and company-sponsored events.
• Benefits supporting healthcare, financial wellness, retirement planning, family assistance, continued education, and work-life balance.