About this role
The Data Scientist / Data Engineer role within the Finance and Corporate Strategy team at HPE focuses on leveraging structured and unstructured data to drive capital strategies and business insights. You will design, develop, and deploy advanced machine learning models, lead research initiatives, and architect scalable AI systems. Responsibilities include selecting appropriate modeling techniques, data pre-processing, feature engineering, and ensuring the reliability and performance of AI solutions. You will collaborate with cross-functional teams, provide technical leadership and mentorship to junior engineers, and communicate complex technical strategies to executive stakeholders. Key duties involve applying data mining, NLP, and machine learning to extract actionable insights, as well as overseeing design review sessions and establishing long-term implementation strategies. Required qualifications include a bachelor's or master's degree in a quantitative discipline and typically 15 years of experience. Candidates must possess a solid understanding of fundamental AI/ML concepts, proficiency in Python, Java, or C++, and expertise in frameworks like TensorFlow or PyTorch. Strong mathematical foundations and experience in leading research or open-source contributions are essential. This is a hybrid role requiring an average of 2 days per week in the office.