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Senior Data/Research Scientist
Pearson
Centennial, CO, United States
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Description
At Pearson, we’re committed to a world that’s always learning and to our talented team who makes it all possible. From bringing lectures vividly to life to turning textbooks into laptop lessons, we are always re-examining the way people learn best, whether it’s one child in our own backyard or an education community across the globe. We are bold thinkers and standout innovators who motivate each other to explore new frontiers in an environment that supports and inspires us to always be better. By pushing the boundaries of technology — and each other to surpass these boundaries — we create seeds of learning that become the catalyst for the world’s innovations, personal and global, large and small.
Role
We are looking for a highly motivated, collaborative data scientist to join the Advanced Computing and Data Science Lab. The mission of the Lab 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.
• Communicate research and operational findings through appropriate methods that may include internal reports, journal papers, or executive summaries, internal or external presentations.
• Work collaboratively with other members of the Lab and product-specific partners to advance the goals of the Lab.
• Build functional proofs of concept.
Qualifications
Requirements:
• Ph.D. in a quantitative field (or equivalent experience).
• Five years experience working in complex computing and analytic contexts.
• Experience with modern data mining techniques and technologies e.g. probabilistic models, machine learning, natural language processing, 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 and relational databases.
• High fluency in using scientific computing tools like Python, R and/or equivalents.
• Familiarity with the mathematical and numerical issues in algorithm development.