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Data Scientist

  • IT, Software development, System Engineering Jobs

Description

   Work on data manipulation using tools such as excel, R/Python, SQL

  • Modify/enhance existing codes (in R/Python) to connect technical outputs with business context
  • Perform statistical analyses (descriptive & inferential) using basic concepts like correlations & hypothesis testing
  • Should have working knowledge of ML concepts like clustering, regression, classification 
  • Consistently display an intent for problem solving

 

BUSINESS ENVIRONMENT

 

Main Characteristics:

·      Detail oriented, analytical and inquisitive 

·      Ability to learn on the go 

·      Ability to effectively communicate and present information at various levels of an organization 

·      Ability to work independently and with others 

·      Evaluation Criteria (Targets): Position will be responsible to support Global Category Management. It will entail working very closely with GHQ, BUs and GAC teams.

Responsibilities

QUALIFICATIONS, EXPERIENCE, SKILLS

 

Please list the following requirements

 

  • Level of educational attainment required:
  • B.Tech/BE
  • Previous work experience required
  • Minimum 2 years of experience in analytics/data science with hands-on experience in Excel, R/Python and SQL

 

  • Language skills required
  • Scripting languages – R or Python

 

  • IT skills required
  • Hands-on experience in data manipulation using Excel, R/Python, SQL

 

  • Other Skills required
  • Passion for solving problems using data
  • Detail oriented, analytical and inquisitive
  • Ability to learn on the go
  • Ability to effectively communicate and present information at various levels of an organization
  • Ability to work independently and with others

Hard Skills

  • Coding and Programming (Python, C#, Java, PHP, etc
  • Data Analytics
  • Statistical Analysis
  • Quality assurance
  • Software development

Soft Skills

  • Communication
  • Leadership
  • Adaptability
  • Strategic thinker
  • Skilled Collaborator