Data Scientist for Supply Chain Optimization

4 days ago


Spring, Texas, United States HP Development Company, L.P. Full time

HP Development Company, L.P. is seeking a highly skilled Data Scientist to join its Strategic Planning and Modelling (SPaM) team. This role offers an exciting opportunity to work on evaluating supply chain investment and improvement opportunities, generating strategic business recommendations, and creating next-generation predictive and prescriptive analytical model deployments.

The ideal candidate will have a strong background in machine learning and optimization on large datasets, as well as proficiency with Python, SQL, GitHub Co-Pilot, ChatGPT, PowerBI, Excel. Experience with generative-AI and passion for data science & delivering data-driven outcomes are also essential.

Key Responsibilities:

  • Pair with SPaM team members and collaborate with cross-functional teams to frame business challenges, structure analytical approaches, gather key data, evaluate alternative solutions, and present well-supported conclusions to management
  • Develop and diffuse innovations in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, distribution, and related areas
  • Effectively tell stories with data using visualization tools/methods to demonstrate insight, impact, and business value
  • Build, deploy, and support innovative predictive and prescriptive analytic solutions at scale
  • Use proven MOC techniques to ensure smooth adoption of new solutions
  • Maintain proficiency within the data science and supply chain management domains by keeping up with technology advancements

Salary Estimate: $118,050 - $181,800 per annum, based on location and experience. The actual salary may vary depending on individual qualifications and circumstances.



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