Full-Time

Director of Data Sciences

Deadline 9/25/26
Target

Target

10,001+ employees

Multi-channel retailer selling apparel, home, groceries

Compensation Overview

$168k - $356k/yr

Company Historically Provides H1B Sponsorship

Minneapolis, MN, USA + 1 more

More locations: Sunnyvale, CA, USA

Hybrid

Hybrid work requires both on-site and virtual work; duties must be performed within the country of the primary work location.

Master's, PhD

Category
Data & Analytics (1)
Required Skills
Python
Data Science
R
Forecasting
SQL
Machine Learning
Java
Scala
Operations Research

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Requirements
  • A PhD or Master of Science in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics, or relevant industry experience.
  • At least 10 years of experience leading and developing teams of applied data scientists and operations research scientists in optimization, simulation, and advanced analytics.
  • At least 5 years of experience in mathematical optimization, simulation, forecasting, machine learning, statistical modeling, and network modeling or planning.
  • Proficiency in Python, Scala, Java, SQL, or R programming.
  • Expertise in deterministic and stochastic optimization theory, dynamic programming, linear algebra, probability, and statistics.
  • Experience in statistical inference and deploying machine learning models at scale.
  • Experience translating complex analytical work into strategic recommendations and influencing senior leaders within and across global teams.
  • Problem-framing and communication skills, with the ability to operate effectively across technical and executive audiences.
Responsibilities
  • Lead, develop, and inspire a high-performing team of data scientists and operations research practitioners.
  • Set the analytical vision and roadmap for Network Planning and Design, translating strategic business questions into quantitative decision frameworks.
  • Serve as a thought leader in advanced analytics and supply chain network design, connecting technical work to business strategy.
  • Partner across Supply Chain, Finance, Technology, Stores, and other teams to ensure analytical capabilities address important network decisions.
  • Influence VP-level and higher leaders by communicating recommendations, trade-offs, uncertainty, and business impact.
  • Lead the development of optimization, simulation, forecasting, digital twin, and machine learning capabilities supporting long-term network strategy.
  • Apply operations research and advanced analytics to network footprint, capacity planning, inventory placement, product flow, automation, transportation, and reverse logistics decisions.
  • Ensure models represent real-world constraints, uncertainty, and operating dynamics while remaining scalable and actionable.
  • Establish practices for scenario analysis, sensitivity testing, model validation, and decision support.
  • Build reusable analytical capabilities that enable faster and more consistent strategic decision-making.
  • Partner with Engineering, Product, and Technology teams to transform analytical models into scalable decision-support tools and products.
  • Advance the use of modern optimization solvers, cloud computing, machine learning, and artificial intelligence where they improve model performance or decision quality.
  • Establish practices for model governance, reproducibility, testing, documentation, and auditability.
  • Champion experimentation and emerging methods that advance network planning capabilities.
Desired Qualifications
  • Extensive experience in supply chain, logistics, retail, transportation, manufacturing, or other large-scale network environments.

Target is a large retailer that sells clothing, electronics, home goods, and groceries through about 2,000 stores and an online platform, and it also carries its own branded products. It works by stocking broad assortments and offering convenient shopping options, including same-day services, supported by owned brands and a strong online presence; customers can shop in stores or online and use the Target Circle loyalty program with flexible memberships. Its differentiators include the Design For All philosophy—high-quality, well-designed products at affordable prices—a wide lineup of owned brands, and a focus on rewards and convenience through its loyalty program and services, plus a commitment to sustainability via Target Forward. Target’s goal is to provide a convenient, relevant, and enjoyable shopping experience while pursuing a sustainable, community-minded business that gives back to neighborhoods.

Company Size

10,001+

Company Stage

N/A

Total Funding

N/A

Headquarters

Minneapolis, Minnesota

Founded

2005

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 comparable sales rose 3.8%, and Target raised full-year guidance.
  • Target opened its 2,000th store and plans over 30 openings in 2026.
  • Next-day delivery now reaches over 50 metros, expanding free speedy fulfillment options.

What critics are saying

  • Fiddelke cut 1,800 corporate roles in October 2025 after prolonged sales declines.
  • DEI backlash, boycotts, and litigation damaged Target’s brand trust through 2026.
  • Tariffs and import exposure pressure pricing; a failed turnaround threatens Target’s relevance.

What makes Target unique

  • Target combines 2,000 stores with same-day, next-day, and Drive Up fulfillment.
  • Target Circle 360, Roundel, and Target Plus deepen recurring digital monetization.
  • Target’s owned-brand design still differentiates it from Walmart and Costco.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Paid Sick Leave

Paid Holidays

Paid Vacation

401(k) Retirement Plan

Employee Discounts

Growth & Insights

Headcount

6 month growth

-4%

1 year growth

-4%

2 year growth

-4%