Job Details

Data Scientist

San Francisco, CA | Full time

Job ID:

1205-001DS

Duration:

Long Term

Experience:

3-5 years

Career Level:

Associate

Compensation:

DOE

Industry:

Computer Software

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 be an added advantage.
  • Experience with mathematical optimization, control theory, time-series analysis would also be an added advantage.