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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Target's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Lead Operations Research Scientist

Target
🔍 Observed
66
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Just posted
  • has location, quality description (4676 chars)
  • Direct ATS (workday)
How the Hiring Activity Score works →
Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065 First seen 1 hour, 51 minutes ago Last seen 1 hour, 51 minutes ago Workday
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Job Description

AI Summary
• Lead Operations Research Scientist role focused on solving complex supply chain network optimization problems using advanced mathematical techniques, machine learning, AI, and simulations across Target's global supply chain. • Requires strong expertise in operations research, statistics, probability theory, machine learning, large-scale data analysis, and programming skills with experience in optimization methods (MILP), discrete event simulation, and Monte Carlo analysis. • Responsibilities include identifying large-scale problem spaces, collaborating with cross-functional stakeholders, guiding junior researchers, developing solutions, and communicating insights to drive business impact and decision-making. • L6 leadership level position within Target's Global Supply Chain and Logistics division, requiring accountability for project planning, delivery, team alignment, and removal of organizational blockers. • Opportunity to work on high-visibility problems at a Fortune 50 company with 400,000+ employees, promoting a culture of diversity, mutual respect, and meaningful impact.

Skills

python
Job Information
  • Company:
    Target
  • Location:
    Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065
  • Job Type:
    Full-Time
  • Experience Level:
    Mid
  • Source:
    Workday
  • Status:
    Active
Activity Score
66 /100
Likely Active (66)

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

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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.

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