SI&OP Data Scientist — Forecasting & Demand Strategy

Slate Auto

California

Sur place

USD 132 000 - 234 000

Plein temps

14 jours+

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Résumé du poste

Slate is seeking an energetic SI&OP Data Scientist to join our growing team in the United States. The role requires a Bachelor’s degree in data-related field and 6+ years in Data Science, with emphasis on SI&OP, Demand Planning, or Business Management.

You will apply AI, ML, and forecasting analytics to drive strategic insights and support cross‑functional decision making. Proficiency in Excel and tools like Tableau or Alteryx is expected, along with strong communication skills to present data

Qualifications

  • Bachelor’s Degree in Data Science, Mathematics, or Statistics (with emphasis on Business Administration) or Business Administration, Supply Chain Management, Finance (with emphasis on Data Analytics) or equivalent is required.
  • 6+ years of experience in Data Science, with hands-on experience working within SI&OP, Demand Planning, or Business Management / Strategy strongly preferred.
  • Experience with AI, machine learning, and predictive analytics to create forecasting models.
  • Strong analytical skills, with sufficient understanding of data interpretation and forecasting models (both statistical and non-statistical).
  • Proficiency in Microsoft Excel and/or other data analysis tools, such as SmartSheets, Tableau, Alteryx, or other scripting tools.
  • Strong verbal and written communication skills, with an understanding of how to present complex data in easily understood ways to multiple levels with the business.
  • Strong problem solving capabilities, with an attention to detail.
  • Comfortable in start‑up environments. You can roll up your sleeves to do the work and build, or recommend the tools needed to be successful as the company grows.
  • A proactive, “one company” teammate with a continuous improvement approach, equally comfortable with warehousing practices, material management, business planning, and financial implications.
  • Capability to work cross‑functionally with external partners and internal teams, building strong relationships that produce positive results.

Connaissances

Bachelor’s Degree in Data Science
6+ years of experience in Data Science
Experience with AI, machine learning,
Data forecasting / analytics
Excel and data tools (Tableau, Alteryx
Strong communication skills
Start-up environment adaptability
Cross-functional collaboration
Travel up to 10%

Formation

Bachelor’s degree in related field

Outils

Tableau
Alteryx
Excel
SmartSheets

Description du poste

Slate is seeking an energetic SI&OP Data Scientist to join our growing team in the United States. The role requires a Bachelor’s degree in data-related field and 6+ years in Data Science, with emphasis on SI&OP, Demand Planning, or Business Management.

You will apply AI, ML, and forecasting analytics to drive strategic insights and support cross‑functional decision making. Proficiency in Excel and tools like Tableau or Alteryx is expected, along with strong communication skills to present data

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