Data Scientist / Data Engineer
Hewlett Packard Enterprise (HPE)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy advanced machine learning models and AI system architectures ensuring scalability and performance.
Lead research initiatives to explore new AI/ML approaches and technologies, driving innovation within the Finance and Corporate Strategy team.
Provide technical leadership and mentorship, guiding junior engineers and coordinating cross-functional AI projects with measurable operational impact.
Minimum Requirements
Bachelor's or Master's degree in computer science, engineering, data science, machine learning, AI, or closely related quantitative discipline.
Typically 15 years’ professional experience in AI/ML or related fields.
Proficiency in machine learning frameworks (TensorFlow, PyTorch, sci-kit) and programming languages Python, Java, or C++.
Work model: Hybrid with approximately 2 days per week onsite at HPE office.
Ideal Candidate Profile
Experienced AI/ML expert with deep knowledge of supervised and unsupervised learning, deep learning, NLP, and statistical modeling applying to finance and strategy contexts.
Proven technical leader skilled in architecting scalable AI systems and mentoring engineering teams in best practices.
Able to communicate complex AI concepts effectively to technical and executive stakeholders and align AI solutions with business objectives.