D Cube Analytics - Lead - Data Science

Required Skills:

- 5-10 years of professional experience is required

- Degree in applied math, statistics, machine learning or computer science. PhD/ MS 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 & Responsibility:

- 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