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McGraw Hill Education Data Scientist in Boston, Massachusetts

Build the Future

Do you enjoy testing the limits of possibility? At McGraw Hill, our Data Science team drives progress and helps build the future of learning. If you have the passion and technical expertise to thrive in an innovative and agile environment, we want to learn more about you.

Your impact on the team

Our Digital Platform Group is looking for a Data Scientist in either Boston or New York City. This team is responsible for building and supporting innovative digital platforms to power learning across K-12, Higher Education, International, and Professional segments. As part of this team, the Analytics and Reporting team is building best-in-class applications which leverage data and machine learning for advanced analytics and adaptive learning products. If you are interested in contributing to the future of digital learning and are passionate to innovate in the adaptive learning space, join us on this mission!

What can you expect from the position?

•Cleanse and wrangle student interaction data from our learning platforms.

•Build Machine Learning models which learn from student behavior and predict learning outcomes, suggest remedial content, and provide other adaptive learning modalities.

•Evaluate performance, optimize and improve models.

•Deploy data-enabled services to live products used by millions of users.

•Contribute to research projects which extend the state of the art and evaluate efficacy of our adaptive learning solutions.

What can you bring to the role?

•A Bachelor's degree in Computer Science

•A Master's degree or PhD in Data Science, Data Mining, or Learning Science.

•Strong hands-on programming skills in Python and SQL.

•Experience with standard Python data science packages (Pandas, NumPy, SciPy) and methodologies.

•Experience with Machine Learning libraries (e.g. Scikit-learn), Deep Learning (Keras, TensorFlow), NLP packages (NLTK, CoreNLP, SpaCy, Gensim) and methodologies.

•Strong understanding of data models, including highly normalized and denormalized data, and an intuitive ability to listen to and understand what the data is telling you.

Desirable, but not required:

•Experience with Scala, Spark MLlib, MLflow.

•Experience with AWS services, including SageMaker, Comprehend, and Personalize.

•Experience participating in research and publishing academic papers in the educational technology or data mining space.

As an education innovation company, we're proud to play our part by inspiring learners around the world. If you bring your curiosity, we'll help you grow in a collaborative environment where everyone shares a passion for success.

Are you ready for a new challenge? Apply for a career at McGraw Hill and together, we'll impact the world.