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Job Description

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Integrate customer’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

Skills and Qualifications

  • Skills and Qualifications
  • BS/MS in relevant field.
  • Excellent understanding of machine learning techniques and algorithms.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, SkLearn, Pandas etc. Excellence in at least one of these is highly desirable
  • Experience with data visualization tools, such as D3.js, Ggplot, Matplotlib etc.
  • Experience with SQL/NoSQL databases, such as mySQL, MongoDB, Cassandra, Hbase is a plus.
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills in python, java etc.
  • Data-oriented personality.
  • Great communication skills.

Job Details

Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Full Time/Permanent
Job Location:
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Experienced Professional
Experience:
2 Years - 4 Years
Apply Before:
Jan 05, 2018
Posting Date:
Dec 05, 2017
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