Data Scientist

2 days ago

Spring Valley, Nevada, United States HP Development Company, L.P. Full time
Job Description

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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