What we Expect:
Experience or knowledge in statistical or machine learning techniques such as linear regression, logistic regression, and time series, forecasting, clustering, etc. is required.
Excellent knowledge of statistical programming languages such as R or SAS is required.
Other programming experience (Python, Perl, Java, C ) is highly desirable .
Knowledge of SQL, databases, and cloud technology .
Familiarity with big data tools and platforms (such as Hadoop, Hive, Hbase, MAPR, etc.) is a big plus
Experience of working in Unix environment .
Freshers should have done a live project or a certified course in the above mentioned technologies.
What you attain:
You will desire a fast paced, test-driven, collaborative and iterative engineering environment. You will love learning, data, scale and agility. You will excel at making complex concepts simple and easy to understand by those around you. You- re then driven to show the world the power of applied analytic.
Salary Range: 4 - 10 LPA
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