Region: North America
Job description:
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
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. 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.
To apply visit the link.
More Information:http://pearson.jobs/centennial-co/senior-dataresearch-scientist/23CE560A084D4D6BB1EF4BC6BB47145C/job/