Learning Engineer

SAIC is currently seeking a motivated, career-oriented learning engineer to bring and interdisciplinary approach to learning based on an in-depth foundation and education in proven theoretical leading models and methods, educational paradigms and instructional approaches, and scientific and analytical methods to promote good decision-making in the use of learning ecosystem components. This position allows for 100% remote work.

Responsibilities:

• Demonstrate a grounding in applied learning sciences with additional emphasis in data science, analytics, user experience, and applied research
• Demonstrate an understanding of statistical modeling approaches for education and training, analysis of large datasets, and the use of evidence to improve learning
• Focus on data, and in using validated methods, that put learning data to work in the service of improved learning outcomes and institutional effectiveness
• Combine big data with design-based research to improve the design of learning experiences
• Use theoretical and practical understanding to scale innovations across the learning ecosystem
• Collaborate with instructional designers to validate or assess learning needs, develop strategies, and implement plans based on all the component parts and connections within the ecosystem in which learning occurs
• Recommend the most effective use of learning resources and contribute to transforming how the supported organization thinks about teaching, learning, education, and training
• Assist the supported organization in identifying and solving complex sociotechnical problems in logical ways

Qualifications (Education and Experience):

• A doctorate degree in education and ten (10) years or more experience; master’s degree in education, instructional systems, or related area and thirteen (13) years or more experience in areas of training, learning, and/or education; or relevant years of experience in lieu of degree.
• Demonstrated ability to synthesize large data sets with appropriate quantifiable and qualifiable research methodology through prior published work
• Undergraduate or higher degree in instructional design, formal certification in instructional design, or a minimum of five (5) years’ practical experience as an instructional systems designer or equivalent role
• Demonstrated content mastery in areas related to learning/training transfer theory
• Demonstrated ability to effectively lead cross-functional teams in a learning, training, or educational ecosystem
• Excellent analytical and problem-solving skills
• Excellent oral and written communication skills
• Competency in MS Office Suite
• United States citizenship
• Must be able to obtain a secret Security Clearance

Desired Education, Certifications, Expertise, Years of Experience:

• A doctorate degree in education or a terminal degree in another field with at least ten (10) or more years’ work experience in areas of training, learning, and/or education
• Undergraduate or higher degree in instructional design, master-rated certification in instructional design, or a minimum of ten (10) or more years’ practical experience as an instructional systems designer or equivalent role
• Demonstrated significant past performance leading cross-functional teams in a learning, training, or educational ecosystem

About us

SAIC is a premier Fortune 500 technology integrator driving our nation’s technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective and efficient solutions that are critical to achieving our customers’ missions.