Senior Data Scientist:

This 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 today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s 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:

What you'll do:

We are looking for a curious and creative self-starter who is passionate about data to join the ‘Global Customer Experience Analytics team’ in HPE’s Networking Business Unit. The right person for this role thrives in a fast-paced environment, loves problem-solving, and is a great communicator.

Key Responsibilities

• Partner with cross‑functional teams to identify high‑impact opportunities for data‑driven solutions.
• Collect and ingest structured and unstructured data from enterprise sources, including IT datasets in Databricks.
• Build curated analytical views to support downstream reporting, analytics, and decision‑making.
• Clean, transform, and prepare datasets using SQL and custom Alteryx workflows.
• Explore large, complex datasets to uncover trends, patterns, and actionable insights.
• Develop, validate, and deploy statistical models and machine learning algorithms to advance business initiatives.
• Create dashboards, reports, and visualizations that clearly communicate insights to technical and non‑technical audiences.
• Ensure data quality, reliability, and consistency across pipelines and analytical workflows.
• Present findings and recommendations to leadership through clear, compelling narratives.
• Stay current with emerging tools, technologies, and best practices in analytics, data science, and machine learning.

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, or a related quantitative field.
• 9+ years of relevant professional experience in analytics, data science, or related domains.
• Strong proficiency in SQL and relational database technologies.
• Experience working with Databricks, Alteryx, Power BI, and Tableau.
• Skilled in Python or R, including commonly used statistical and machine learning libraries.
• Ability to clean, transform, and analyze large, complex datasets.
• Experience with cloud storage and distributed data systems such as AWS S3, Hadoop, Hive, and Snowflake.
• Familiarity with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems
• Solid understanding of statistics, probability, and experimental design.
• Strong problem‑solving, storytelling, and communication skills, with the ability to translate technical findings into business insights.
• Proven ability to manage multiple projects, prioritize effectively, and work both independently and collaboratively.

What you need to bring:

• A strong sense of ownership, with the initiative to drive projects from concept to execution and the accountability to deliver high‑quality outcomes.
• Curiosity and a passion for solving ambiguous, open‑ended problems.
• A collaborative mindset and eagerness to partner with diverse teams.
• A balance of technical depth and business intuition.
• A drive to continuously learn, experiment, and improve.

Additional Skills:

Accountability, Accountability, Active Learning, Active Listening, Bias, Business Reporting, Coaching, Compliance Management, Creativity, Critical Thinking, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity, Personal Initiative, Policy and procedures, Process Improvements, Quality Initiatives, Regulatory Policies {+ 3 more}

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.

Let's Stay Connected:

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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.

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