Data Scientist

Greater Los Angeles and Chicago

No. of positions 1

Job Duration Long Term

Job Type Permanent

Qualification Bachelors / Masters


2-4 years

Required Skills

  • 2-4 years of professional experience is required.
  • Degree in applied math, statistics, machine learning or computer science. Ph.D. / M.S. is preferred.
  • Deep understanding of statistics and experience with machine learning algorithms/techniques.
  • Proven programming skills in particular C++ and Python, strong experience with DL frameworks such as TensorFlow, Theano and others.
  • Scientific expertise and real-world experience in deep learning (convolutional neural networks, restricted Boltzmann machines, and deep neural networks).
  • Passion for solving challenging analytical problems.
  • Ability to quickly, qualitatively and quantitatively assess a problem.
  • Ability to work productively with team members, identify and resolve tough issues in a collaborative manner.
  • Experience in applying machine learning techniques to real-world problems in a production environment.

Roles & Responsibilities

  • Design, develop and deliver AI/machine learning enabled solutions for our industry specific data analytics platform.
  • Build scalable, available and supportable processes to collect, manipulate, present, and analyze large datasets in a production environment.
  • Articulate problem definition and work on all aspects of data including acquisition, exploration/visualization, feature engineering, experimentation with machine learning algorithms and deploying models.
  • Develop working prototypes of algorithms, evaluate and compare metrics based on the real-world data sets.
  • Provide design input specifications, requirements and guidance to software engineers for algorithm implementation for solution / product development.

Join the Team at D Cube

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