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Data Scientist – Partner Solutions & Use Case Demonstrations

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Hewlett Packard Enterprise

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Location:
Puerto Rico , Aguadilla

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • 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
What we offer:
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Additional Information:

Job Posted:
June 06, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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