2 - 6 years

0 Lacs

Posted:7 hours ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: You will be responsible for selecting features, building and optimizing classifiers using machine learning techniques, data mining using state-of-the-art methods, enhancing data collection procedures, processing, cleansing, and verifying the integrity of data for analysis, conducting ad-hoc analysis, creating automated anomaly detection systems, and presenting results clearly. Additionally, you will participate in project meetings, manage multiple development designs, provide customer training, and contribute to internal projects. You must have hands-on experience with data models and data warehousing technologies, be organized, analytical, and proficient at handling multiple priorities. Key Responsibilities: - Select features, build, and optimize classifiers using machine learning techniques - Data mining using state-of-the-art methods - Enhance data collection procedures and verify data integrity - Conduct ad-hoc analysis and present results clearly - Create automated anomaly detection systems - Participate in and lead project meetings - Manage multiple development designs and projects - Provide customer training - Contribute to internal projects - Have hands-on experience with data models and data warehousing technologies Qualifications Required: - Excellent understanding of machine learning techniques and algorithms - Experience with common data science toolkits such as R, Weka, NumPy, MatLab - Excellent communication skills - Proficiency in data visualization tools such as D3.js, GGplot - Proficiency in query languages such as SQL, Hive, Pig - Experience with NoSQL databases such as MongoDB, Cassandra, HBase - Good applied statistics skills - Good scripting and programming skills - Bachelor/Master in Statistics/Economics or MBA desirable - BE/BTech/MTech with relevant experience can also be considered - 2 to 4 years of experience with at least 2-3 project lifecycle experience in data science Additional Company Details (if any): N/A,

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