Job Description

Masters or Ph.D. preferred with Strong problem solving skills with an emphasis on product development.
Excellent understanding of domains like US Real Estate, US Automotive, US healthcare, India Insurance Domain
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc
Great communication skills
Experience with data visualization tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive, Pig
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills in R, Python, Spark etc.
Data-oriented personality
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.

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Skills

Data Scientist , SQL , Python , MongoDB , NoSQL , Static & Rotating , Communication skills ,

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Qualifications

• Master in Software Engineering
• PhD