Previous Job
Ref No.: 18-00253
Location: Rockleigh, New Jersey
Position Type:Contract
Start Date / End Date: 07/25/2018 to 07/25/2019

Location New York NY
Duration Contract

Job Title Dir. Data Scientist
Our client is seeking a Data Scientist to join its Enterprise Data Management team. This role will report to the VP, Enterprise Data Management and will support all the divisions on various data science initiatives. The Data management team provides a service to all of divisions enabling various reporting and analytic capabilities for a data driven decision making in every corner of our business.

Specific responsibilities:
  • Developing innovative, scalable machine learning and data mining solutions that mine complex user behavioral data and transform it into actionable insights
  • Extensive code development, debugging, optimizing, and productionizing
  • Conducting ad hoc analysis, building models, forecasting viewing behavior
  • Constructing and presenting research ideas, prototypes and proofs of concepts
  • Identifying, ingesting, and enriching a wide range of structured and unstructured big data into datasets for analysis
  • Defining strategies and parameters for predictive models and data mining projects, ensuring data integrity and usability
  • Analyzing and evaluating model results, providing ongoing monitoring and improvements
  • Staying abreast of new developments in machine learning in order to investigate and develop new "challenger” approaches to compete against current "champions”
  • Helping craft the long-term data strategy for the organization and advocating for the intelligent use of data throughout the business
About You: You LOVE data, programming and math. You have the attitude that whatever you do not know you can learn. You are an exceptional communicator with extensive experience presenting complex models and detailed analysis in simplified ways to non-technical staff. You have phenomenal Python, R and SQL coding skills (nearly developer level) and tons of experience with Big Data technologies and platforms (Pyspark, Hive and Hadoop). Your coding expertise is vital since we look to leverage automation in every way possible to maximize our reach and impact. Finally, you have a very sophisticated understanding of machine learning, statistics and data science principles and a proven record of successfully putting them into practice.
  • Master's degree or equivalent in Computer Science, Machine Learning, Data Science, Statistics, Applied Mathematics, Operations Research or Physics
  • 5+ years of hands-on experience with machine learning, predictive modeling and statistical analysis techniques in a business environment
  • Exceptional programming skills in R, Python (pandas, scikit-learn, statsmodels, IPython, matplotlib)
  • Highly advanced SQL skills and experience with both relational and non-relational databases
  • Experience with additional programming languages and statistical platforms is a plus: R, Scala, Java, MATLAB, SAS, SPSS Modeler
  • Deep experience in regression, classification models, bagging, boosting, decision trees, neural networks, support vector machines, dimensionality reduction, clustering and experimental design
  • Expert user of Big Data technologies and platforms (Pyspark, Hive and Hadoop) and data visualization tools (e.g. Tableau)
Outstanding verbal and written communication skills and presentation skills with a sharp ability to simplify complex concepts and convey actionable solutions