Join As Data Scientist At HP | Apply Now
Job Overview:
| Company | HP |
|---|---|
| Job Role | Data Scientist |
| Job ID | 3154694 |
| Work Location | Bengaluru, Karnataka, India |
| Work Mode | Office |
| Job Type | Full time |
| Experience | Freshers / Experienced |
| Qualification | Any Graduate |
| Salary | Not disclosed |
| Careers Page | www.hp.com |
Skills: Python SQL Databricks GitHub MLflow Pandas PySpark Scikit-learn
Start your analytics career with HP as a Data Scientist in Bengaluru!
HP is hiring a Data Scientist to work on supply chain analytics, planning, and forecasting models. Freshers and experienced professionals are welcome to apply for this full-time role.
Who Can Apply?
- Freshers and experienced professionals with strong programming skills.
- Candidates proficient in Python, SQL, Databricks, GitHub, and MLflow.
- Individuals with a good grasp of Pandas, PySpark, and Scikit-learn.
- People who can build regression, classification, or time-series models for business applications.
- Candidates familiar with feature engineering and methods to prevent data leakage.
About HP:
HP Inc. is a multinational technology company that develops personal computers, printers, and related supplies, along with 3D printing solutions. HP provides equal employment opportunities to all individuals without discrimination.
What You Will Do as Data Scientist
- Build Analytical Workflows: Build and maintain reproducible analytical workflows in Databricks using Python, PySpark, and MLflow.
- Develop Forecast Models: Develop and evaluate models for short-term forecasting, attach rate tracking, and inventory buffer analysis.
- Automate Processes: Collaborate with domain data scientists to convert recurring manual logic into automated processes and parameterized scripts.
- Ensure Version Control: Ensure version control and reproducibility through GitHub and configuration files while participating in code reviews.
Skills Required:
Programming & Tools. Strong programming skills in Python, SQL, Databricks, GitHub, and MLflow.
Machine Learning Libraries. Hands-on experience with Pandas, PySpark, and Scikit-learn for building predictive models.
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on your Python coding skills, specifically using Pandas, PySpark, and Scikit-learn for building models.
- Practice building time-series forecasting and regression models and understand feature engineering techniques like rolling averages and lag features.
- Familiarize yourself with workflow automation and reproducibility tools like Databricks, MLflow, and GitHub.
- Prepare to explain complex technical and statistical model results in simple business terms.
What the Listing Does Not Mention
- No salary or compensation package is mentioned in the listing.
- No last date to apply is specified.
- Specific shift timings for the India location are not stated.
How to Apply: HP
- Click the official apply link provided below to visit the HP careers page.
- Review the job description and requirements thoroughly.
- Submit your application and upload your updated resume online.
Do not miss this opportunity to build your career with HP. Apply via the official link below!
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: Any Graduate. See the eligibility section above for details.
Can freshers apply for this job?
Yes, the job listing explicitly states that experience level includes freshers.
What is the job location?
The job location includes Bengaluru, Karnataka, India, alongside Tlaquepaque, Mexico.
Is coding required for this role?
Yes, strong programming skills in Python, SQL, and Databricks are required.
What is the job type?
This is a full-time position.
Stay safe: HP does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official HP careers listing for this role.
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Disclaimer: This job post is for information only. All applications and questions should go to HP through the official process.
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