8,00,000 – 14,00,000 P.A
Data mining using state-of-the-art methods based on propreitary and open source tools
Selecting features, building and optimizing classifiers using machine learning techniques
Extending company’s and customer’s data with third party sources of information when needed
Enhancing data collection procedures for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Assist our customers to analyze the data and explore trends, outliers to improve decision making process and tools
Skills and Qualifications :
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, NumPy etc
Excellent communication and presentation skills
Experience with data visualisation tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, NoSQL, 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
Experience : 8-10 years with at last 3 years in relevant field