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Company Info

New York, NY, United States

Company Profile

Machine Learning


Job ID:



Pune, IN-MH, India 


Analytics, Big Data Analytics, Big Data Developer, Hadoop, Machine Learning, MapReduce, MATLAB, MongoDB

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Job Description:

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
We are looking for ecommerce expertise to deliver better customer experience, drive higher revenue, early issue detection and build system for automated fraud detection, etc. 

Responsibilities :

- Use strong business acumen, as well as an ability to communicate findings, and mine vast amounts of data for useful insights

- Use these insights to influence how an organization approaches business challenges

- Use a combined knowledge of computer science and applications, modelling, statistics, analytics and mathematics to solve problems

- Extract data from multiple sources

- Sift and analyze data from multiple angles, looking for trends that highlight problems or opportunities

- Communicate important information and insights to business and IT leaders

- Make recommendations to adapt existing business strategies

Job Requirements:

  • Key Skills- Machine leaning and algorithms, Decision trees, R or Python, Cassandra, NoSql, Statistical regression and testing.

    Big Data: Hadoop (Hive,Pig,casandra,Hbase)

    Note- Exposure to retail or eCommerce is a must 

    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, Python. Excellence in at least one of these is highly desirable

    - Great communication skills

    - Experience with data visualization tools, such as tableau

    - Proficiency in using query languages such as SQL, Hive, Pig

    - Experience with NoSQL databases, such as Cassandra, HBase

    - Good applied statistics skills, such as distributions, statistical testing, regression, etc.

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