Data Scientist – Partner Solutions & Use Case Demonstrations
Aguadilla, Puerto Rico, Puerto Rico
Hewlett Packard Enterprise
Discover HPE edge-to-cloud, enterprise compute IT, data, and security solutions. Learn how HPE empowers digital transformation through AI and sustainability.This role has been designed as ‘’Onsite’ with an expectation that you will primarily work 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:
We are seeking a skilled and collaborative Data Scientist to join our team in a partner-facing role. In this position, you will work closely with our software partners to design, develop, and present compelling data science use cases that showcase the value of our joint solutions and tools. This is a unique opportunity to apply your analytical expertise in a cross-functional environment that blends data science, product innovation, and partner engagement.
Key Responsibilities:
- Collaborate with strategic software partners to understand their business use cases and technical environments.
- Design and implement data science use cases (e.g., data analysis, NLP applications, customer segmentation) that align with partner solutions.
- Build and maintain end-to-end prototypes and proof-of-concepts (POCs) that highlight the capabilities of our platforms and partner integrations.
- Present findings and demonstrations to both technical and non-technical audiences, including stakeholders, partners, and customers.
- Translate complex data insights into clear, actionable recommendations tailored to customer outcomes.
- Work cross-functionally with product, engineering, marketing, and sales teams to ensure alignment and success in partner engagements.
- Develop reusable templates, notebooks, and documentation to accelerate future use case development.
- Stay up-to-date with industry trends in machine learning, AI, and partner ecosystems.
About you:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 3+ years of experience in data science, preferably with experience in customer-facing or partner-driven environments.
- Proficient in Python (pandas, scikit-learn, etc.) and data visualization tools (e.g., Tableau, Power BI, Plotly).
- Experience with machine learning model development, evaluation, and deployment.
- Strong communication skills, with the ability to present technical concepts to diverse audiences.
- Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.
- Experience with cloud platforms (AWS, Azure, or GCP) and data infrastructure is a plus.
Preferred Qualifications
- Experience working directly with software vendors, technology partners, or in a pre-sales/sales engineering role.
- Familiarity with ML Ops, APIs, and integration of models into third-party software solutions.
- Contributions to open-source projects or publications related to data science or AI.
Why Join Us
- Be part of an innovative company at the intersection of data science and partner ecosystems.
- Work on impactful projects that demonstrate real-world value.
- Collaborate with leading software companies and contribute to cutting-edge innovation.
- Enjoy a supportive culture that fosters continuous learning and development.
#LI-Hybrid
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 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:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
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EngineeringJob Level:
TCP_05
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Azure Computer Science Data analysis Data visualization Engineering GCP Machine Learning ML models NLP Open Source Pandas Plotly Power BI Python Scikit-learn Scrum Statistics Tableau
Perks/benefits: Career development Health care
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