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19/09 Jyoti Chetry
Analytics Hiring at Pylon Management Consulting Pvt Ltd

Views:258 Applications:93 Rec. Actions:Recruiter Actions:4

Lead - Data Science - IIM/IISc/BITS/NIT (6-9 yrs)

Bangalore Job Code: 849637

Opportunity with one of the product based startup firm for Bangalore location

- Experience in Data Science, Machine Learning Algorithm, Deep Learning, ML techniques and Python or R or Matlab.

- Should be from only IIMs, IISc, top NITs only.

- Should be from product based company only.

Responsibilities :

- Lead a team of data scientists to delivery energy analytics models and solutions from ideation to production quality code.

- Provide technical direction and mentorship to the team, as well as hands-on management.

- 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.

- Collaborate with product management and engineering teams; understand their requirements; challenges and develop potential solutions

- Stay current with the 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 the company portfolio.

Requirements :

- 6-9 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)

- Ability to lead and deliver in a fast paced start-up environment.

- Fluency in tools such as Python/R/Matlab etc.

- Strong intuition for data and Keen aptitude on large scale data analysis

- Excellent written and verbal communication skills.

- Ability to collaborate across teams and strong interpersonal skills.

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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