Job Details

Data Scientist

New York, NY | Contract

Job ID:

3109-004DS

Duration:

Long Term

Experience:

3-5 years

Career Level:

Associate

Compensation:

DOE

Industry:

Information Technology and Services

Job Description

Data Scientist will be responsible for researching and building machine learning and natural language processing applications. You will work as part of our client highly collaborative R&D team, and your solutions will directly and rapidly impact our client business. This includes researching and developing models, algorithms, and applications; analyzing raw source data and derived data; presenting findings; and building tools.

Job Responsibilities:

  • Develop an understanding of our client platform
  • Use your machine learning expertise to research and recommend the best approaches to solving our technology and business problems
  • Design, implement, and validate your solutions using Scala or Python on a large state-of-the-art cluster
  • Work with our Engineering teams to integrate your solutions into client platform

Requirements & Preferred Skills:

  • A Ph.D., (or Master’s degree plus at least 5 years’ relevant experience), in Computer Science, Statistics, Linguistics, Mathematics, Economics, Physics, or a related scientific discipline.
  • At least 2+ years of experience working with large datasets for drawing business insights. Work experience at leading high tech companies such as Google, Amazon, and Facebook etc. is highly desirable.
  • Research experience and coursework in Machine Learning
  • Fluency in Python programming
  • Experience with large data sets
  • Strong understanding of statistics and modeling techniques
  • Desire to work in a highly collaborative environment
  • Experience with Natural Language Processing, Information Retrieval, or Recommender Systems.
  • Experience with distributed computing, such as Hadoop, Spark, or related technologies would also be an added advantage.
  • Experience with mathematical optimization, control theory, time-series analysis would also be an added advantage.