Job Description:

Responsibilities :

  • Responsibilities include Identify, develop and implement the appropriate statistical techniques, algorithms, and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains, as well as provide actionable insights with a clear impact on ROI.
  • Define and develop, maintain and evolve data models, tools and capabilities
  • Communicate your findings to the appropriate teams through visualizations
  • Collaborate and communicate findings to diverse stakeholders
  • Provide solutions but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives,Marketing Mix Optimization, Price Optimization,
  • Ability to build, train and lead a team of data scientists

Qualifications and Experience :

  • Bachelors Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research or related technical degree with the ability to break complex business problems
  • Minimum of 1 to 2 years of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems
  • Knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Theano, Keras, Pytorch
  • Minimum 1 years of Programming background and expertise in building models using at least one of the following languages: Python, R, Java, C, C++