Data Science Engineer

Key Skills

Agile methodologies, Continuous Integration & Continuous Delivery - CI/CD, Data Analysis, Data science techniques, Data Visualization, Machine learning techniques, Python Programming, R Programming, SQL, Tableau

Job Description

In the HPE Chief Technology Office, we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what’s next for you.

What you'll do:

• Collaborate with cross-functional teams to identify and define data-driven solutions that address business challenges.
• Clean, preprocess, and analyze large datasets using tools such as Python, R, or SQL to extract meaningful patterns and trends.
• Develop and implement machine learning models for predictive and prescriptive analysis.
• Create data visualizations and dashboards to effectively communicate findings to both technical and non-technical stakeholders.
• Participate in data-driven decision-making discussions and provide insights to guide strategic initiatives.

What you need to bring:

• B.E/B.Tech/M.E/M.Tech
• 2 to 3 years of professional experience as a machine learning engineer.
• Strong proficiency in programming languages such as Python or R for data manipulation and analysis.
• Familiarity with machine learning techniques and frameworks
• Experience with data visualization tools (Tableau) to effectively present insights.
• Proficiency in SQL for data extraction and manipulation.
• Flexibility to ensure support to customer escalations during US hours.
• Willingness to learn and scale up on the data engineering domain.
• You are well versed in modern software development practices (Agile, TDD, CI/CD)

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Diversity, Inclusion & Belonging

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

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