Jobs / United States / Target Corporation
Lead Data Scientist - Network Planning and Design (applied ML, optimization, simulation)
Target Corporation · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Target Corporation paid sponsored hires in similar roles23 certified filings for “Senior Data Scientist” (Data Scientists) in MN: $120k–$142k, median $120k. Most were filed at wage level III (36%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Target Corporation
The US Department of Labor certified 107 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Target Corporation →
About the role
The pay range is $132,000.00 - $286,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – NETWORK PLANNING AND DESIGN About us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . A role with Target Data Sciences means the chance to help develop and manage state of the art predictive and prescriptive algorithms that use data to automate and optimize decisions at scale. The Target Data Sciences - Supply Chain Optimization team leverages operations research, simulation, and machine learning to help Target makes intelligent supply chain business decisions. This involves writing high-performant, scalable code as well as designing analytical solutions to extract insights and to prescribe best courses of action. Join Target’s Last Mile and Operations Design team where your goal will be to accelerate omni-channel experimentation to foster a culture of continuous innovation at Target. We believe that continuous innovation is critical to delivering and exceeding our brand promise of “Expect More Pay Less” to Target’s guests irrespective of their preferred channel of engagement and commerce. You will enable continuous innovation and drive business performance in our Target Last Mile Delivery space. As a Lead Data Scientist – Network Planning and Design , you will be responsible for building the analytical models and decision-support systems that shape Target’s long-term supply chain architecture and investment roadmap. This includes developing and evolving a portfolio of optimization models, simulations, digital twins, forecasting and capacity models as well as scenario-planning tools used to evaluate billions of dollars in potential network and capability investments. As a Lead Data Scientist – Network Planning & Design you will drive: Strategic Problem Framing and Executive Influence: • Define and structure ambiguous supply chain problems into clear frameworks for decision-making in partnership with Network Design, Flow, and Capacity Planning teams • Synthesize insights into compelling narratives for executive audiences and guide decision-making at scale • Influence senior stakeholders across Supply Chain, Operations, Finance, Technology, Strategy and Merchandising Advanced Modeling and Decision Science: • Own the development of optimization, simulation, forecasting, digital twin, and machine learning capabilities supporting Target’s long-term network strategy • Apply operations research and advanced analytics to decisions including network footprint, capacity planning, inventory placement, product flow, automation, transportation, and reverse logistics • Ensure models accurately represent real-world constraints, uncertainty, and operating dynamics while remaining scalable and actionable • Establish strong practices for scenario analysis, sensitivity testing, model validation, an