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Machine Learning Engineer
Pearson
Centennial, CO, United States
Job Details - this job has expired, please see similar jobs below
Description
Pearson has one defining goal: to help people progress in their lives through learning. We champion innovation and we invest in models for education that deliver on our promise for effective, accessible, and personal learning from early literacy, college and career readiness to professional education, through data informed instruction and inventive applications for mobile and digital learning.
Pearson, the world's leading learning company, has global-reach and market leading businesses in education, business, and consumer publishing and is listed on the London and New York stock exchanges (UK: PSON; NYSE: PSO). For more information, visit www.pearson.com.
Pearson is an Equal Opportunity and Affirmative Action Employer, and a member of E-Verify. All qualified applicants, including minorities, women, veterans, and people with disabilities are encouraged to apply.
Role
We are looking for a highly motivated, collaborative data scientist to join the Personalized Learning and Analytics (PLA) team. The mission of PLA is to develop and apply advanced computing and data science methods to improve the value of Pearson products, services and processes; thus, the position provides the opportunity to engage in cutting-edge research and to make a substantial contribution to improving learning and instruction at scale.
Responsibilities:
• Develop and evaluate statistical models and computational algorithms to improve the value of Pearson products, services and processes.
• Design data collection approaches that capture relevant user behavior to enhance both content and overall learning experience.
• Work collaboratively with other members of the team, engineers, and product-specific partners to advance the goals of PLA.
• Build functional proofs of concept.
Qualifications
• PhD in a quantitative field and a minimum of 5 years experience working in complex computing and analytic contexts (or equivalent experience).
• Experience with modern data mining techniques and technologies e.g. machine learning, natural language processing, probabilistic models, speech technologies, model design, visualization.
• Deep understanding of statistics and probability.
• Profound knowledge of working with data: data structures, data representation, data cleaning, data governance, and research database design. Experience with educational data is a plus.
• Excellent understanding of, experience with and demonstrated success in modern scientific research methods.
• Excellent communication skills including ability to create a compelling and faithful story based on research findings and methodology appropriate to a range of audiences.
• Strong collaborative skills including ability to clarify business problems, understand alternate points of view and contribute to cross-functional problem resolution.
• Exceptional ability and desire to solve problems pragmatically and to learn quickly new concepts and methodologies as needed.
• Interest in human cognition, teaching and learning.
• Experience with SQL, relational databases and other large-scale data storage and retrieval technologies.
• High fluency in using scientific computing tools like Python, R and/or equivalents.
• Familiarity with the mathematical and numerical issues in algorithm development.
Keywords:
Data mining, Big data, Scientist, Data Scientist, Education, Knowledge inference, Causal inference, Behavior detection, Time series, Learning algorithms, Machine learning, Online learning, Probabilistic models, Factor Analysis, Network analysis, Bayesian networks, R programming, Numpy, Scipy, Python, Statistical methods, Statistician, Statistics, Natural language processing.