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Posted Dec 05, 2017 22 views
- 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
Industry:
Functional Area:
Total Positions:
1 Post
Job Shift:
First Shift (Day)
Gender:
No Preference
Minimum Education:
Bachelors
Career Level:
Experienced Professional
Experience:
2 Years - 4 Years
Apply Before:
Jan 06, 2018
Posting Date:
Dec 05, 2017
Slash Next
Information Technology · 11-50 employees - Lahore
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