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Market-Observed Role 🔍 Observed Very Active (80-100)
This role was detected through Target's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Very Active (80-100) based on freshness, specificity, and company patterns. What does this mean? →

Sr Data Scientist - Global Supply Chain and Logistics

Target
🔍 Observed
86
Hiring Activity Score
Very Active (80-100)
  • Base score
  • Posted 3 days ago
  • has location, quality description (6512 chars)
  • 1612 new in 30d (×0.95 age 3d, ×0.87 diversity 58%)
  • 6 skills
  • Tier 1 reputable (Target) ×0.95 age 3d
  • High confidence (90%)
  • Direct ATS (workday)
How the Hiring Activity Score works →
100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017 First seen 3 days, 14 hours ago Last seen 2 hours, 15 minutes ago Workday
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Job Description

AI Summary
• Develop and deploy machine learning and optimization algorithms for Target's global supply chain and logistics operations, working on models that process millions of SKU and distribution network combinations daily • Requires strong supply chain optimization knowledge (inventory, transportation, distribution, fulfillment) plus solid computer science fundamentals and expertise in writing scalable, high-performance code • Collaborate with data scientists, engineers, and business partners to design analytical solutions, balance model complexity with performance, and improve engineering standards across the team • Salary range of $118,000-$211,000 plus comprehensive benefits including medical/dental/vision, 401(k), employee discount, paid time off, and continuous learning opportunities • Offers startup-like freedom and agility within a large, established company with access to vast resources and security

Skills

go sql kotlin aws java python
Job Information
  • Company:
    Target
  • Location:
    100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017
  • Job Type:
    Full-Time
  • Experience Level:
    Senior
  • Source:
    Workday
  • Status:
    Active
Activity Score
86 /100
Very Active (86)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

📊 Only high-scoring listings are shown

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