Data Scientist
2 days ago
HP Development Company, L.P. is seeking a highly skilled Principal Data Scientist to join our team. As a key member of our Supply Chain and Operations team, you will be responsible for leveraging data science and financial modeling to drive innovation and optimize decision-making processes.
Key Responsibilities:
- Collaborate with product management and stakeholders to understand strategic goals and user engagement strategies related to the Hercules program.
- Develop, prototype, and iterate predictive models that support inventory optimization across millions of devices.
- Independently structure analytical approaches and develop project strategies by applying advanced, in-depth supply chain and industry knowledge.
- Interpret benchmarking and statistical data to create new processes, strategies, and tools to be used for supply chain business objectives.
- Conduct investigation and prepare business case and financial analysis for supply chain projects and programs.
- Lead large, cross-functional project teams, providing mentoring and guidance to achieve project goals.
- Own complex strategic supply chain projects from planning through to execution and provide findings resulting from project execution.
- Consult with business executives on a wide range of high-level supply chain issues, including risk management and new growth opportunities.
- Work with key stakeholders as required to optimize supply chain solutions and provide input into new process capability requirements, driving an improved implementation experience and high adoption rate.
- Act as a key advisor to senior management on the development of overall supply chain strategies and long-term goals of the organization.
- Leverage industry and subject matter expertise to contribute to the development of innovative principles and ideas in supply chain projects and programs.
- Create new frameworks for delivery and contribute to tools, templates, and intellectual capital.
Requirements:
- Master's degree or PhD in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Mathematics).
- Four-year or Graduate Degree in Supply Chain Management, Manufacturing Engineering, Operations management, Business Administration, or any other related discipline or commensurate work experience or demonstrated competence.
- 10+ years of experience in predictive modeling and data science roles, preferably in supply chain or inventory management.
- Proficiency in SQL, Python, and PySpark, with extensive experience in statistical analysis and algorithms.
- Strong analytical and problem-solving skills, with a deep understanding of machine learning concepts and tools.
- Excellent communication skills with the ability to convey complex data insights in a clear and actionable manner.
- High emotional intelligence and the ability to navigate ambiguity while working collaboratively in a fast-paced environment.
Preferred Qualifications:
- Experience with machine learning frameworks such as TensorFlow/Keras, PyTorch, or Scikit-Learn.
- Familiarity with cloud computing and MLOps tools, including AWS (SageMaker, EMR) or Azure.
- Knowledge of Microsoft Graph API and its applications.
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave (US benefits overview)
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