Description At Pearson, we are 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. Pearson is an Equal Opportunity and Affirmative Action Employer and a member of E-Verify. All qualified applicants, including minorities, women, protected veterans, and individuals with disabilities are encouraged to apply. Role We are looking for an extremely talented, collaborative Senior data scientist to join the AI Products and Solutions organization. As an R&D organization, our mission is to push the boundaries of what's possible in education and to positively impact millions of learners around the globe. Degrees and formal qualifications are important, but for this positionrelevant experience and a proven track record to deliverare paramount. This position is within a highly agile team responsible for cutting-edge educational technology with an emphasis on text-based formative, complex assessments across a spectrum of learners, domains and technologies. Using techniques from natural language processing, machine learning and especially deep learning you will work on advancing the state of the company's learning technology portfolio to solve practical problems for our customers. The position demands a person with broad interests in technology and education, who is motivated to design and implement substantive improvements to the company's systems, and is highly skilled in researching and developing new innovative ways to contribute to the future of learning. Our team at Pearson, Boulder offers a unique environment for extremely skilled and motivated thinkers. Our culture is highly charged with people who are passionate about a cause, using technology to enhance students' educational experiences. In addition, Boulder, Colorado has been named as the happiest place in the U.S. which is no surprise given its year-round outdoor activities, a surfeit of sunny days, a laid-back lifestyle, natural beauty, ultra-fresh dining and natural foods scenes, the influence of the University of Colorado Boulder, and enough craft beer to put a smile on anyone's face. Relocation assistance is available. Responsibilities: Design, develop and evaluate text analytics, statistical models and computational algorithms to improve the value of Pearson products, services and processes. Apply a variety of machine learning techniques, from linear regression to the latest neural network modeling techniques to improve the efficacy of our educational materials and pedagogy. Design data collection approaches that capture relevant user behavior to enhance both content and overall learning experience. Build functional proofs of concepts. Communicate research and operational findings through appropriate methods that may include internal reports, journal papers, or executive summaries, and internal or external presentations. Work collaboratively with other members of the Lab and product partners to advance the goals of the Lab. Qualifications Requirements: PhD (or masters with 3 years equivalent experience) in a quantitative field with evidence of successfully applying natural language processing and machine learning techniques to substantive problems Evidence of solving significant problems with one or more deep learning frameworks (Tensorflow, PyTorch...). Experience in effectively applying GPUs in training and prediction, a strong plus. A passion for and demonstration of conducting research while maintaining an end-product vision. Your research abilities are matched to solid programming experience in modern languages such as Python, proficiency with database technologies including SQL and non-relational solutions, and data analysis. In addition you have experience with many of the current accoutrements of today's software development tool-chain, such as git, pivotal, jira, Docker, Jenkins, Trello as examples. Experience with linguistic and statistical analysis of natural language utilizing applications from Artificial Intelligence and/or Natural Language Processing, including corpus-based continuous language models based on word embeddings such as Latent Semantic Analysis and/or Word2Vec. Experience with modern data mining techniques and technologies e.g. information retrieval, text analytics, with special emphasis on techniques at all levels of data intensity from medium sized data sets using random forest and gradient boosting to the full application of deep learning with big data. Interest in human cognition, teaching and learning. Experience with educational data is a plus. Strong collaborative skills including ability to clarify business problems, understand alternative points of view and contribute to cross-functional problem resolution. Exceptional ability and desire to solve problems pragmatically and to quickly learn new concepts and methodologies as needed.Salary Range: NAMinimum QualificationLess than 5 years Associated topics: academic, ad 1730 00, curriculum, education, education research, gs 1701 13, k 12, learning, librarian, teacher training
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