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12/04 Hiral Shah
Branch Manager at Pylon Management Consulting

Views:208 Applications:52 Rec. Actions:Recruiter Actions:23

Assistant Manager/Manager - Data Science (4-9 yrs)

Noida/Gurgaon/Gurugram Job Code: 1246683

Assistant Manager/Manager - Data Science ( Deep learning + NLP )


Job description:

- The Data Scientist is expected to have deep knowledge and skills in Machine Learning / Statistical Modelling / Big Data domain, and be responsible for the solution designing and project management for multiple projects/accounts

- Design the solution for advanced analytics (including Big Data) projects what technique to use, what tool/technology to use, etc

- Scope out the solution in terms of time, effort, team skills needed independently

- Own the delivery for projects including developing scalable ML models and algorithms and interpreting the output

- Discuss various opportunities with existing and potential clients at a technical level

- Lead the effort on developing new capabilities/offerings/solutions across the firm

Ideal Candidate:

- Relevant experience of 4-9 years in advanced machine learning, advanced analytical modelling and optimization across multiple industries

- Expert level working knowledge of Python full stack (back-end, analysis layer, implementation)

- Proficient in the analysis of both structured, unstructured data (text, image, video), and streaming (sensor) data;

- Working knowledge of deep learning; experience of having executed very large neural network based solutions

- Atleast 2+ years of Big Data experience including managing a Spark/HDFS based project

- Business domain and solutions knowledge of multiple industries, especially Retail, CPG, Telecom, etc.

- Good knowledge of various data visualization tools, especially open source such as D3, Gephi

- Excellent communication and client engagement skills

- Team management experience is a plus

- Master's Degree in Computer Science / Mathematical Computing / Statistics / Operations Research

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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