Data Scientist / Machine learning Expert – Bidgely – Bangalore (2-8+ years of experience)

deepak Last Updated : 26 Feb, 2015
< 1 min read

Designation – Data Scientist / Machine learning Expert

Location – Bangalore

About employer Bidgely

Job description:

  • 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

Responsibilities

Qualification and Skills Required

  • 2 to 8+ 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 fast paced start-up environment.
  • Fluency in analytical tools such as Matlab, R, Weka etc.
  • Fluency in programming languages like C/C++/Java.
  • Strong intuition for data and Keen aptitude on large scale data analysis
  • Strong communication and collaboration skills.

Interested people can apply for this job can mail their CV to [email protected] with subject Data Scientist / Machine learning Expert – Bidgely – Bangalore

If you want to stay updated on latest analytics jobs, follow our job postings on twitter or like our Careers in Analytics page on Facebook

Responses From Readers

Clear

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy & Cookies Policy.

Show details