Data Scientist - Artificial Intelligence & Machine Learning - R&D Vertical

Role : Data Scientist R&D

The position applies machine learning, predictive modeling/data mining, optimization, advanced measurement, experimental design, and/or deep-dive strategic analysis to identify investor needs, provide business insights

Skills Required:

- Ability to understand business problems and design advanced statistical and analytical solutions independently

- Should be able to decide on the best machine learning/modeling/analysis techniques and provide actionable insights/ model algorithms to the business

- Demonstrated expertise in machine learning and advanced modeling techniques like Neural Networks, Deep learning, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Logistic, Regression etc

- High level of proficiency in statistical tools and programming environments like Python, R, SAS, Big Data platforms like GreenPlum, Hadoop & Spark etc.

- Experience with Hadoop, relational databases and SQL is preferred.

- Exposure to Deep Learning applications and tools like Theano, Torch, Caffe and TensorFlow is preferred.

Candidate Description:

- 3.5-9 years of relevant experience with an organization known for its cutting edge/ best-in-class applicability of advanced analytics and predictive modeling techniques

- Master's Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research)