Work as Data Science Engineer at Dell | Apply Right Now!

Dell is a globally recognized technology company that specializes in developing, selling, repairing, and supporting computers and related products and services. Founded by Michael Dell in 1984, the company is known for its innovative approach to personal computing and enterprise solutions. Dell’s product range includes desktops, laptops, servers, storage devices, and networking equipment. The company emphasizes direct sales to consumers and businesses, ensuring customization and efficient service. Dell is committed to sustainability and corporate responsibility, focusing on reducing environmental impact and enhancing technology accessibility. Headquartered in Round Rock, Texas, Dell continues to be a leader in the tech industry.

Job Role: Data Science Engineer
Company: Dell
Employment Type: Full Time, Regular
Salary: $136,850 – $177,100 P.A
Location: ROUND ROCK, TEXAS -US

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Data Science Engineer Job Description:-

As a Data Science Engineer at Dell, you may play a pivotal position in reworking sizable amounts of facts into actionable insights that power strategic choices. You will collaborate with go-functional teams to broaden, put into effect, and optimize records-pushed answers, leveraging advanced analytics, gadget gaining knowledge of, and records engineering techniques.

Role & Responsibilities:-

Develop and deploy scalable statistics science models to address business-demanding situations and enhance operational performance.
Work intently with records engineers to build and hold robust data pipelines for records extraction, transformation, and loading (ETL).
Analyze large datasets to uncover styles, developments, and correlations that provide actionable insights.
Collaborate with business stakeholders to outline key metrics, recognize necessities, and supply records-driven solutions.
Continuously improve model accuracy and performance via experimentation and new releases.
Create and preserve comprehensive documentation for models, methodologies, and records strategies.
Stay current with the cutting-edge advancements in statistics science, device getting to know, and related technologies.

Qualifications:-

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or an associated discipline.
Proven enjoy in information science and machine studying, with a sturdy know-how of statistical techniques and algorithms.
Proficiency in programming languages which includes Python or R, and experience with records manipulation libraries like Pandas and NumPy.
Strong SQL abilities and enjoy massive data technologies (e.g., Hadoop, Spark).
Familiarity with records visualization gear (e.g., Tableau, Power BI) and revel in imparting records-pushed insights.
Excellent hassle-fixing abilities and the ability to work independently in addition to in a group environment.
Strong communique competencies to deliver complicated records insights to non-technical stakeholders.

Preferred Qualifications:-

- Experience in cloud computing platforms (e.g., AWS, Azure, GCP).
- Knowledge of deep mastering frameworks (e.g., TensorFlow, PyTorch).
- Experience in constructing and deploying devices getting to know models in a manufacturing environment.

Why Join Dell?

Dell offers a dynamic and inclusive painting environment where innovation and collaboration are key. As a Data Science Engineer, you may have the opportunity to work on present-day projects, advantage publicity to modern-day technologies, and make a contribution to impactful commercial enterprise selections. Dell’s dedication to professional growth, numerous subcultures, and sustainability tasks make it an appealing region to enhance your profession in information science.

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