Job Description

• The ideal candidate would be adept at understanding customers business challenges and define
  
• appropriate analytics approach to design solution
  
• The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business
  
• Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes
  
• The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial.
  
• The person should at a minimum be proficient in R, competent in Python, possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models.
  
• Ideal candidate should have hands on experience using Machine Learning Techniques
  
• They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction
  
• Good knowledge of model development/data engineering experience using Python and R
  
• He / She would be responsible for creating Presentations, reports etc to present the
  
• Analysis findings to the end clients/stakeholders
  
• Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations.
  
• Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add.

Ideal Candidate & Qualifications

Technical Experience:

Hands on experience in developing models (end to end)

• Logistic regression
  
• Clustering
  
• Decision Tree
  
• Random Forest
  
• Support Vector Machine
  
• Naive Bayes
  
• Gradient Boosting Machine
  
• Deep learning
  
• Natural Language Processing

Tools:

• Python, R
  
• Experience processing large amount of data using BigData technologies is preferred
  
• Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus