Primary Responsibilities:

• Perform offline/online analysis of large data sets using components from the Hadoop ecosystem
• Skills to create opportunities using machine learning or artificial intelligence
• Involve in big data technologies and prototype solutions to improve our data processing and analytics architecture
• Identify project issues, communicate them and assist in their resolution
• Understand the healthcare domain and execute numerous projects at the same tim
• Cooperative and team focused attitude
• Help the client to make efficient decision based on their need

Required Qualifications:

• Undergraduate degree or equivalent experience
• Experience in R, or Python or Spark (Mlib)
• Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
• Working knowledge of tools like SQL, Excel
• Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
• Strong analytical, problem solving and decision-making skills

Preferred Qualification:

• Excellent communication and decision making skills