Software Engineer Staff - Data Scientist

Software Engineer Staff - Data ScientistThis role has been designed as ‘Hybrid with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in todays complex world. Our culture thrives on finding new and better ways to accelerate whats next. We know varied 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

Job Family Definition:

Designs, develops, troubleshoots and debugs software programs for software enhancements and new products. Develops software including operating systems, compilers, routers, networks, utilities, databases and Internet-related tools. Determines hardware compatibility and/or influences hardware design.

Management Level Definition:

Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.

What youll do:

Responsibilities

• Collect, clean, and transform data from various sources and formats for model training
• Perform exploratory data analysis and visualization to understand patterns and trends
• Build, test, and deploy predictive models and algorithms using appropriate tools and frameworks to a production cloud environment
• Communicate findings and recommendations to stakeholders and clients using clear and compelling reports and presentations
• Collaborate with other data scientists, engineers, and domain experts on cross-functional projects

What you need to bring:

Qualifications / Requirements

• Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• Proficiency in Python, R, SQL, or other programming languages for data analysis
• Experience with data wrangling, manipulation, and visualization tools and libraries such as pandas, numpy, scikit-learn, matplotlib, seaborn, etc.
• Knowledge of machine learning concepts and techniques such as supervised and unsupervised learning, regression, classification, clustering, dimensionality reduction, etc.
• Familiarity with cloud computing platforms and services such as AWS, Azure, or Google Cloud
• Strong analytical and problem-solving skills

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, 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.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied 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.

Lets Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#india#networking

Job:

Engineering

Job Level:

TCP_04

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Information :

• Company : HP Enterprise
• Position : Software Engineer Staff - Data Scientist
• Location : Bangalore, Karnātaka
• Country : IN