HP recruitment for freshers|data scientist role|Any graduate are eligibile|2022/2021 /2020 /2019 /2018 /2017 |apply job now.
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About hP :
- HP Inc. is an American multinational information technology company headquartered in Palo Alto, California, that develops personal computers, printers and related supplies, as well as 3D printing solutions.
About role :
- A data scientist requires large amounts of data to develop hypotheses, make inferences, and analyze customer and market trends. Basic responsibilities include gathering and analyzing data, using various types of analytics and reporting tools to detect patterns, trends and relationships in data sets.
HP recruitment 2022 :
- Company : HP
- Role : data scientist
- Salary : 5.5LPA
- Experience : 0-2 years
- Location :banglore, chennai
- Batch :2022 /2021 /2020 /2019 /2018 /2017
- Qualification :any graduate
- Industry : IT
- Type : full time
Eligiblity criteria :
- Bachelor’s or Master’s degree in Mathematics, Economics, Physics, Computer Science, or equivalent.
- Typically 0-2 years’ experience including graduate or postgraduate research.
Skills required :
- 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.
- Good written and verbal communication skills; mastery in English and local language.
- 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.
Scope and impact :
- Collaborates with peers, junior engineers, data scientists and project team.Supports projects requiring data engineering solutions expertise.