Jobs Admin — Published On December 23, 2014 and Last Modified On January 29th, 2015
Jobs Jobs - Business Analytics

Designation – Analytics Engineer – Machine Learning

Location – Mumbai

About employerAureus Analytics

Job description:


  • Process data sets to elicit features and information for consumptions of various business departments
  • Create reusable algorithms for various mathematical and statistical models
  • Create data assets for customers which are fit for visualization and planning
  • Create data assets that can be used in customer analysis, product building and management, risk analysis and modelling
  • Create training programs
  • Choose the right implementation of algorithm for a given customer problem
  • Request for change in an algorithm implementation

Qualification and Skills Required

  • 2-5 years of experience
  • Educational Qualifications : Post Graduate in Maths / Statistics / Economics Or BE / ME
  • Professional Certifications Certificate / Diploma in computer programming in Java / PHP
  • Strong skills on MATLAB or R Studio or Analytics Module of Excel or Pig
  • Experience in writing algorithms for various statistical models for Financial Services or Health Care
  • Experience in eliciting attributes from a given unknown data set and write algorithms to analyse data sets and predict values for un-assessed dataset
  • Knowledge of concepts like back-testing
  • Experience in implementing algorithms for Supervised, Unsupervised and Semi supervised MLs
  • Exposure to MapReduce design patterns will be an added advantage
  • Customer Interaction & Consultation
  • Writing algorithms
  • Mentoring & training

Interested people can apply for this job can mail their CV to [email protected] with subject as Analytics Engineer – Machine Learning – Aureus Analytics – Mumbai

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

Leave a Reply Your email address will not be published. Required fields are marked *