India, Data Science

4 days ago

Bengaluru, India Western Digital Full time

Company Description

At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.

We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.

We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology, SanDisk® and WD® brands.

Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.

**Job Description**:
**Qualifications**:

- Proven experience as a Data Scientist/Data Analyst.Experience in data mining.
- Real-time project knowledge, Data science model deployment & model training experience is mandatory.
- Experience in building & analyzing Regressive/time series algorithms. Precise understanding of the built logic and understanding of the outcomes.
- Expert in Python programming language.
- Experience with the Dataiku platform is an added advantage.
- Familiarity with R, Java, React JS, or Vue JS is an asset.
- Experience in using any one business intelligence tool (e.g. Tableau, Power BI)
Knowledge of working with big data frameworks (e.g. Hadoop)

Edu Qualifications:
B.E/BTech in Computer science or Equivalent. (or) MSc Computer Science/Data science or a similar field of study.

Additional Information

Soft Skills:

- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude & Excellent communication and presentation skillsv

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