Role: Data Scientist

Summary: We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products

Job Description:

• Selecting features, building and optimizing classifiers using machine learning techniques

• Data mining using state-of-the-art methods

• Extending company’s data with third party sources of information when needed

• Enhancing data collection procedures to include information that is relevant 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

Technical skills required:

• 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. Excellence in at least one of these is highly desirable

• Experience with data visualisation tools, such as PowerBI, Tableau, OBI, 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.

• Experience in Azure ML, as well as build some reports/dashboards in Power BI for Customer Churn Modeling & Reporting

Behavioural skills required: Strong communication and inter-personal skills

Typical level of experience: 5+ years

Education: Bachelor / Master in Engineering, Computer Science, MCA, MCS