Job Overview

Location
Sanand, Gujarat
Job Type
Full Time
Date Posted
1 month ago

Additional Details

Job ID
28014
Job Views
17

Job Description

Broad knowledge and experience in:

  • Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. 
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Ability to apply latest mathematical and statistical techniques to analyze data and uncover patterns.
  • Interested to build web application as part of job scope.
  • Knowledge in Cloud based Analytics and Machine Learning Modeling
  • Knowledge in building APIs for application integration.
  • Knowledge in the areas: statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning.
  • Data Analysis and Validation skills
  • Strong software development skills.

Above average skills in:

  • Programming Fluency in Python
  • Knowledge in statistics, Machine learning and other advanced analytical methods
  • Knowledge in javascript, AngularJS 2.0, Tableau will be added advantage.
  • Knowledge in OOPS background is added advantage.
  • Understanding of pySpark and/or libraries for distributed and parallel processing is added advantage.
  • Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • Knowledge with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
  • Understanding of Manufacturing Execution Systems (MES) is a plus

Demonstrated ability to:

  • Work in a dynamic, fast-paced, work environment
  • Self-motivated with the ability to work under minimal direction
  • To adapt to new technologies and learn quickly
  • A passion for data and information with strong analytical, problem solving, and organizational skills
  • Work in multi-functional groups, with diverse interests and requirements, to a common objective
  • Communicate very well with distributed teams (written, verbal and presentation)

Qualification

Bachelor’s degree

Experience Requirements

Fresher Experience

Location

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