HP Requirement 2022 | For Data Scientist | Apply Now

HP Requirement 2022

HP Requirement 2022 | For Data Scientist | Apply Now

 

HP is hiring for the post of Data Scientist . Students from Many Background can apply for HP Requirement 2022. Interested and eligible candidates can read more details below.

 

Recruitment :

Company Name : HP

Post Name: Data Scientist

Degree : Bachelor’s or Master’s  Degree

Branch : Mathematics, Economics, Physics, Computer Science, or equivalent.

Batch : 2019 / 2020 / 2021 / 2022 / 2023

Experience : Fresher ( 0 – 2 year* )

CTC : Up to ₹ 8 LPA*

Location: Bangalore / Chennai

 

 

 

Job Description:

  • Works with the team to mine data using modern tools and programming languages.
  • Implements models to uncover patterns and predictions creating business value and innovation.
  • Works with project team to understand problem statements, initiates and direction.
  • Works with the team to creates stories with the data using visualization tools/methods.
  • Assures accuracy, integrity, and compliance of cleansed data.
  • Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
  • Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvements.
  • Using statistics, mathematics, algorithms and programming languages.

 

 

Requirements:

  • Bachelor’s or Master’s degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
  • Typically 0-2 years’ experience including graduate or postgraduate research.
  • Ability to apply analytical and problem-solving skills.
  • Understanding of disparate unstructured and structured data in a distributed environment.
  • Understanding of structured and unstructured data and modern data transformation methodologies.
  • Ability to create basic models to pull insights from data.
  • Create stories and visualizations to describe and communicate data insights.
  • Demonstrates analytical and problem-solving skills.
  • Creative.
  • Good written and verbal communication skills; mastery in English and local language.
  • Collaborates with peers, junior engineers, data scientists and project team.
  • Supports projects requiring data engineering solutions expertise.

 

 

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