Bidgely | Senior Data Scientist | india
1 week ago
Roles and Responsibilities
● Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data.
● Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches.
● Productize proven or working models into production quality code.
● Collaborate with product management, marketing and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions
● Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers.
● File patents for innovative solutions that add to company's IP portfolio
Requirements
● 4 to 6 years of strong experience in data mining, machine learning and statistical analysis.
● BS/MS/PhD in Computer Science, Statistics, Applied Math, or related areas from Premier institutes (only IITs / IISc / BITS / Top NITs or top US university should apply)
● Experience in productizing models to code in a fast-paced start-up environment.
● Expertise in Python programming language and fluency in analytical tools such as Matlab, R, Weka etc.
● Strong intuition for data and Keen aptitude on large scale data analysis
● Strong communication and collaboration skills.
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Bidgely | Senior Data Scientist | india
2 weeks ago
india Bidgely Full timeRoles and Responsibilities ● Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data. ● Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches. ● Productize proven or working models into...
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Senior Data Scientist
1 week ago
India Bidgely Full timeRoles and Responsibilities ● Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data. ● Dig deeper into data, understand characteristics of data, evaluate alternate models and validate hypothesis through theoretical and empirical approaches. ● Productize proven or working models into...
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