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Barnes & Noble College

Principal Senior Data Scientist

Post Date:Jan 16, 2018Type:Full-Time
Start Date:1/3/2018Salary:
Location:US-NY-New York Job Reference:


  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Logistic Regression, XGBoost, etc.
  • Experience with common data science toolkits, such as R, Python, NumPy, Keras, Theano, Tensorflow, etc. 
  • Great communication skills
  • Experience with data visualisation tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig 
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
  • Ph.D. or Master’s Degree in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline
  • 5+ years handling complex datasets, preferably in the higher education domain, including SIS, LMS and CRM datasets, and understand higher education problems such as student persistence and retentionAbility to travel both domestically and internationally
  • Ability to travel both domestically and internationally

Barnes & Noble College is an Equal Employment Opportunity and Affirmative Action Employer committed to diversity in the workplace.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Job Description:

JOB TITLE:  Senior Data Scientist

REPORTS TO:  Director, Digital Operations & Program Management


  • External customers at the academic and technical levels
  • Production and Development teams 
  • Internal Corporate partners


BNED LoudCloud is looking for an exceptional senior data scientist in NYC. This is a unique opportunity to join a new, multidisciplinary team of creative and passionate individuals who are passionate about making a difference in higher education.

BNED LoudCloud’s flagship analytics suite of products and services – LoudSight - leverages sophisticated predictive modeling techniques on historical student information to predict and deliver insights on student retention and persistence. The insights are then utilized to conceive intervention strategies aimed at helping at-risk students succeed.

You will lead the efforts to build, advocate, evangelize data-fueled products that help our customers improve student retention and persistence. You’ll dig in and become an expert on our student information and engagement datasets. You will research, design, implement and validate cutting-edge models to analyze diverse sources of student data to achieve targeted outcomes.


  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc & exploratory data analysis and presenting results in a clear manner
  • Develop best practices for BNED data science team on data mining and model development
  • Providing day-to-day guidance to a junior data scientists and analysts

Contact Information
Barnes & Noble College
Name: Janine Bilancia

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