Learning Analytic Scientist

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations and a math fact fluency solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.

A Learning Analytics Scientist at ExploreLearning helps millions of children learn math and science by participating in the creation, improvement, and analysis of our award-winning, game-based, adaptive education products. Our ideal candidate will have a background in learning analytics and a passion for helping young learners learn math and science.

This position is for an independent contractor.

Essential Job Functions:

• Use our in-house AI system to sculpt the behavior of games so they properly adapt to individual learners while ensuring that activity-specific pedagogical requirements are achieved
• Analyze user-generated logs to develop insights into the experiences of users
• Distill and present these findings, along with recommendations for improvement, to designers and other stakeholders
• Other duties related to game behavior (e.g., testing, investigation of customer-reported behavior)
• Construct configuration files determining and encoding game behavior
•  Analyze user-generated trace data and present findings

Additional Job Functions:

• Provide expert support related to testing and investigation of customer-reported game behavior

Required Qualifications:

• Two years’ experience in educational data science OR master’s degree in learning analytics, educational data science, or similar field
• Familiarity with standard LAK/EDM user- and knowledge- modeling frameworks
• Extremely strong quantitative background and reasoning skills, including epistemology of hypothesis testing and standard mathematical modeling techniques for supervised and unsupervised machine learning
• Ability to analyze heterogeneously structured pedagogical log data, including demonstrated programming experience in at least one suitable programming language

Preferred Qualifications:

• Demonstrated ability to perform literature searches and present findings in the LAK/EDM research space
• Familiarity with Bayesian Networks, Bayesian Knowledge Tracing, Q-matrices
• Expertise in Python, XSL, Typescript, or C#
  Substantial background in mathematics and computer science
•  A keen understanding of selection bias in educational data analysis

Required Skills and Abilities

• Master’s degree in Learning Analytics, Educational Data Science, or related field OR at least 2 year’s work experience
• Familiarity with common user- and knowledge-modeling frameworks
•  Extremely strong quantitative reasoning skills
• Familiarity with hypothesis testing and standard mathematical modeling/data mining methods for supervise and unsupervised learning
• Ability to analyze heterogeneously structured data, including demonstrated experience with at least one computer language suitable to the task.

Preferred Skills and Abilities

• Ability to perform literature searches in the LAK/EDM research space
• Familiarity with Bayesian Networks, Bayesian Knowledge Tracing, Q-matrices
• Expertise in Python, TypeScript, XSL, or C#
• Academic background in mathematics and computer science

To apply for this opportunity, email your resume and cover letter to mike.rodbell@explorelearning.com. Please include the job title and requisition number in the subject line of the email.

EOE including Disabled and Vets. VEVRAA Federal Contractor.