Jobs / United States / Target Corporation
Applied Data Scientist - Supply Chain Optimization
Target Corporation · 🇺🇸 100 Mathilda Place,Ste 100 Sunnyvale,CA 94086-6017
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 roles5 certified filings for “Lead Data Scientist” (Data Scientists) in CA: $159k–$159k, median $159k. 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 $90,500.00 - $162,800.00 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 US AS AN APPLIED DATA SCIENTIST – SUPPLY CHAIN OPTIMIZATION 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 algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams - you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Supply Chain Optimization, Marketing, Network Security and Personalization rely on. Every Scientist on Target’s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target’s culture and apply retail domain knowledge. As a Data Scientist in the Supply Chain Optimization, team your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory. These will allow you to perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications while also adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD, etc.) and create a well maintainable and tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R) we well as learn best practices in data analysis and data understanding. As you follow Agile processes, you will implement prototypes for individual components of software or data science solutions and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact as well as details of the specific business sub-problem you’re focused on. You will collaborate with peers on their products, document, present work to peers and participate in code reviews to gain broader understanding of different components within the application. The exciting part of retail? It is always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: • 4 year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent work experience • Strong fundamentals in Probability, Statistics and Mathematics • Experience in applying advanced s