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Job Views:  
527
Applications:  135
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Posted in

IT & Systems

Job Code

1679417

HP - Data Science Professional - Full Stack

HP India Sales Private Limited.2 - 6 yrs.Bangalore
Posted 4 weeks ago
Posted 4 weeks ago

HP is the world's leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

This is an opportunity to join HP Inc team responsible for Statistical Forecasting & analytics for Personal Systems (Worldwide: Americas, Europe & Asia. The team works closely with various business units, regions, functions across multiple domains and design and develop Tools/solutions for Business problems.

If you are our Data Scientist in India:

- We are looking for a Full-Stack Data Science professional to join our growing Personal Systems- Statistical Forecasting & analytics COE team. In this role, you will work closely with senior data scientists and SMEs to build, enhance, and maintain scalable ML based web applications/solutions in Demand Planning and Supply chain domain.

Required Skills & Qualifications

- 2 to 6 Years of total experience .

- Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience)

- Familiarity with at least one front-end framework such as React or Angular-

- Basic understanding of Machine Learning / AI Agents concepts and Statistics.

- Basic understanding of HTML, CSS, and JavaScript.

- Basic knowledge of a backend language such as Java, Node.js, Python.

- Visualization skills: Power BI/Tableau would be preferable.

- Database: MS SQL/Oracle SQL

- Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage

- Ability to design analytics solutions, simulation, modelling to address business problems.

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Job Views:  
527
Applications:  135
Recruiter Actions:  45

Posted in

IT & Systems

Job Code

1679417