• A keen desire to solve business problems, and to find patterns and insights within structured and unstructured data
  
• Ability to work independently.
  
• Excellent written and verbal communication skills for coordinating across teams.
  
• A drive to learn and master new technologies and techniques
  
• Strong ability to formulate business problems mathematically and strong problem-solving skills.
  
• Proven data manipulation skills.
  
• Have been active in the community in terms of articles / blogs / speaking engagements at conferences

Requirements

• At least 4+ years of experience in Data analysis and Hadoop stack development using various database technologies with recent 2+ years associated in Data science.
  
• Experience in Python or Scala, Spark, Linear Regression Modelling, Algorithms, Predictive Modelling, Statistical Model development.
  
• Experience in implementing analytical solutions using programming languages, such as R, Python, Spark, Java and more, for solving analytical problems within engineering.
  
• Experience with data visualization tools and spatial analytics.
  
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks/ANN, RNN, CNN, Deep learning techniques, Image Text processing, NLP etc.) and their real-world advantages/drawbacks.
  
• Strong problem solving skills with an emphasis on domain usecase.
  
• Excellent written and verbal communication skills for coordinating across teams.
  
• Experience in use case related to Retail ,Telecom ,Banking