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06/08 Nandana K
Management Trainee - Recruiter at Pylon Management Consulting

Views:688 Applications:193 Rec. Actions:Recruiter Actions:8

Data Scientist - IT (1-12 yrs)

Bangalore Job Code: 1136635

Manage and guide data science and data engineering elements of AI projects

- Set a strategic direction for data identification, collection and qualification activities

- Lead data analysis for multiple projects with diverse scope and complex business and technical challenges across several business units and functions

- Develop best practices for data science, considering the full analytical lifecycle

- Develop guidelines for the evaluation of new analytical tools and platforms

The Skills that are Key to this role:

Technical / Behavioural:

- The candidate should possess extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques in a professional context

- Candidate should be expert in handling various data types and structures: structured, unstructured, voice, image and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.

- Should have extensive experience with relational, NO-SQL and Graph databases.

- High level of proficiency in statistical tools, programming environments like Python, Big Data platforms like Spark and cloud platforms like AWS is a must.

- Must possess good programming languages skill in Python/Java/C/C++

- Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe is preferred.

- Have the ability to discover new opportunities where analytical techniques can be leveraged for solving business problems.

- Relevant experience with organizations known for cutting edge/ best-in-class applications of Advanced Analytics, Predictive Modelling, NLP/NLU, Computer Vision and Artificial Intelligence

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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