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16/04 Satyajeet
Head - Talent Acquisition at BuzzHire

Views:4017 Applications:254 Rec. Actions:Recruiter Actions:99

Data Scientist - Machine Learning - eCommerce/Internet - PhD (3-12 yrs)

Bangalore/Delhi NCR Job Code: 1080657

We are looking for Data Scientist for top & starts up e-commerce and internet companies.

Please find the Job description Below ;

Required ;

- B.Tech/M.Tech/PhD from a reputed institution. Masters/ PhD is preferred

- 3-8 years of relevant experience applying machine learning, statistics, text mining, social network analysis, information retrieval, information extraction, AI, deep learning, etc

- Strong depth and breadth of knowledge in different areas of data mining as well as reasonable programming and design skills to manipulate Big Data and build prototypes that work on massive datasets

- Work experience in an Internet company preferred

- Strong programming experience in at least one of the programming languages such as - Python, C/C++, Java, Scala

- Experience in using tools such as Scikit-Learn, Spark MLlib, R, Weka, GATE, Cluto, Solr. / Lucene, ML-Pack, Vowpal Wabbit, LibSVM, Mallet etc

- Peer-reviewed publications at top international conferences/ journals in fields related to data mining, knowledge discovery and machine learning is a plus

- Experience in handling big data technologies such as Hadoop/ MapReduce, Spark, HBase, Cassandra, Storm, Hive, Pig, etc. is a plus

- Exceptional problem-solving skills and strong business/ product thinking

Roles & Responsibilities:

- You create intelligent and highly relevant experiences in our products that wow our users

- You analyse peta-scale data to train ML models and evaluate them with the right metrics

- You work with engineers to create ML pipelines that process and mine massive scale data

- You partner with product managers to make data-driven decisions and help solve the right problems for our users


Buzzhire

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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