Retail F-1 STEM OPT Sponsorship Jobs in New York
Retail F-1 STEM OPT sponsorship jobs in New York attract data analysts, supply chain engineers, and e-commerce technologists at companies like Amazon, Walmart, and major department store headquarters concentrated in Manhattan and Brooklyn. New York's position as a global retail hub means STEM-designated roles in merchandising analytics, inventory systems, and digital retail operations appear regularly across the metro area.
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Internship Position Summary
Faherty Brand is seeking a builder — an entrepreneurially spirited MBA candidate with a strong technical foundation and genuine curiosity about what AI can do for consumer retail. This 10-week summer internship is centered on a real, high-impact AI project: you’ll identify a meaningful business problem at Faherty, design and prototype an AI-powered solution, and deliver a working proof of concept that our team can evaluate for implementation. The scope is intentionally broad: your project could live in marketing (e.g., automating performance spend decisions), merchandising (e.g., AI-assisted buying or inventory forecasting), customer experience (e.g., personalization, styling recommendations), or operations (e.g., demand sensing, supply chain optimization). What matters most is that you bring an AI-first mindset, hands-on technical ability, and the creativity to apply emerging tools to real consumer problems. The ideal candidate has a background in computer science, engineering, or a similarly technical discipline — and the business acumen to translate that into impact at a purpose-driven brand.
About the Internship Program
This is a 10-week, paid summer internship based out of Faherty’s New York HQ in the Financial District. You’ll be embedded within a cross-functional team, with regular touchpoints with senior leadership and real exposure to how a purpose-driven, high-growth retail brand makes strategic decisions. This role is project-based — you’ll own a defined AI initiative from scoping through prototype delivery, with the full support of Faherty’s leadership team behind you.
What you’ll do:
- Identify and scope a high-impact AI use case in partnership with your internship manager — drawing from across the business (marketing, merchandising, customer experience, operations, or beyond) — and build a clear problem statement, success criteria, and project plan within the first two weeks
- Design and build a working AI prototype or proof of concept — using tools such as Python, LLM APIs (e.g., OpenAI, Anthropic), machine learning frameworks, or no-code/low-code AI platforms — that directly addresses the identified business problem and demonstrates measurable value
- Conduct a landscape analysis of relevant AI tools, vendors, and methodologies applicable to your chosen use case — for example, if working in marketing, evaluating AI-driven budget automation platforms; if working in merchandising, evaluating predictive analytics or demand forecasting tools — and develop a clear recommendation on build vs. buy vs. partner
- Partner cross-functionally with stakeholders across the relevant business area (marketing, technology, finance, or operations) to gather data, validate assumptions, and ensure your solution is grounded in real operational constraints and Faherty’s brand values
- Present a final capstone deliverable to senior leadership at the conclusion of the internship — including your working prototype, a clear articulation of the business case, an implementation roadmap, and a point of view on how Faherty can continue to scale AI adoption across the organization
What you’ll have:
- Currently enrolled in an MBA program with an anticipated graduation of 2027, and an undergraduate or graduate degree in computer science, engineering, applied mathematics, data science, or a related technical field (or equivalent hands-on experience)
- Demonstrated ability to build — you’ve shipped code, built models, or developed AI-powered tools in a professional or academic setting; comfort with Python (or similar) and experience working with LLMs, ML frameworks, APIs, or data pipelines is strongly preferred
- An AI-first mindset with genuine consumer curiosity — you naturally ask “where could AI create value here?” and have experience applying AI tools (generative, predictive, or agentic) in consumer-facing or business contexts, not just academic ones
- Familiarity with the retail or consumer landscape — prior experience in e-commerce, DTC, retail tech, or a consumer-facing brand (through work, internship, or coursework) helps you understand where AI can create the most meaningful impact for our customers and business
- Exceptional communication and storytelling skills — you can translate technical complexity into clear business language and are equally comfortable presenting to engineers and to executives
- Highly collaborative with a hands-on, entrepreneurial spirit and ability to thrive in a fast-paced, evolving environment
We aim to pay competitively for our size and industry. The pay for this position is $25.00/hour USD, but we will consider location, skill level and experience to determine the final offer.
A bit about us:
Founded in 2013 by Mike and Alex Faherty and Kerry Docherty, Faherty is a family-run lifestyle and apparel brand fueled by purpose and optimism. Our goal: to build a new American legacy by creating high-quality, sustainably minded, feel-good favorites that will bring you joy to wear.
We feel a deep responsibility to do things differently: to promise comfort without compromising quality. To hold ourselves to a higher standard with a lower environmental impact. To leave the world a better place than we found it.
We recognize the impact the fashion industry has on the world, and we’re dedicated to learning how to be better stewards of the planet. We believe the power of conversation and connection can make real change, and we’re committed to supporting people and organizations doing work that we believe in.
Our passionate leadership team comes from different backgrounds but share a singular goal: to deliver on our promise of comfort and craftsmanship. To work side-by-side in a collaborative, energetic, and creative environment every day, like the family we are.
We welcome everyone — and we mean everyone. We believe a diversity of viewpoints, experiences, and backgrounds only serve to make our team stronger, which is why we strongly encourage those from historically and systemically marginalized communities to apply: BIPOC, women, and people in the LGBTQIA+ community, to name a few. We strive to lead consciously, bravely, and inclusively — and to reflect those values in our work. Employees should embody the five core values of the Faherty team:
- Always Innovate, constantly seeking creative ways to improve and drive forward.
- Bring Day One passion, energy, and grit to every challenge, iterating relentlessly to exceed expectations.
- Move forward as one with a shared purpose, All Together, fostering inclusivity and collaboration across teams.
- Harness the Power of Positivity, even when things get tough we’re leading with optimism and resilience in every interaction with our team, customers, and communities.
- Deliver with a Timeless focus, ensuring quality and long-term impact in all efforts.
Remain compassionate. Stay focused. Seek joy. Let’s make the world a better place!
Retail Job Roles in New York
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Search Retail Jobs in New YorkRetail Jobs in New York: Frequently Asked Questions
Which retail companies in New York sponsor F-1 STEM OPT visas?
Large retailers with significant New York operations are among the most active F-1 STEM OPT sponsors. Companies like Amazon, Walmart, Target, and luxury retail groups with Manhattan headquarters regularly file Labor Condition Applications for STEM-designated roles in data science, supply chain technology, and e-commerce engineering. Department store chains and specialty retailers with corporate offices in the New York metro area also sponsor qualifying positions, particularly in analytics and inventory management functions.
Which cities in New York have the most retail F-1 STEM OPT sponsorship jobs?
Manhattan concentrates the highest volume of retail STEM OPT sponsorship opportunities, particularly in Midtown and lower Manhattan where major retailers maintain corporate headquarters and technology centers. Brooklyn has grown as a secondary hub, especially for e-commerce operations and retail tech startups. Albany and Buffalo have a smaller but present retail corporate sector. For roles tied to physical store operations with STEM functions, the New York City metro area accounts for the substantial majority of available positions.
How do I find retail F-1 STEM OPT sponsorship jobs in New York?
Migrate Mate lets you filter specifically for retail employers in New York that have a verified history of sponsoring F-1 STEM OPT workers, using DOL Labor Condition Application filing data. This removes guesswork about which companies actually sponsor. Focus your search on STEM-designated job titles within retail, such as data analyst, supply chain engineer, or e-commerce systems developer, and confirm that each role falls under a STEM-eligible Classification of Instructional Programs code before accepting any offer.
What types of retail roles typically qualify for F-1 STEM OPT sponsorship in New York?
Roles that qualify must align with a STEM-designated CIP code and draw on a bachelor's or higher degree in a STEM field. In retail, qualifying positions commonly include data analyst, business intelligence developer, supply chain optimization engineer, e-commerce platform engineer, merchandising systems analyst, and retail technology specialist. Roles in store management, sales, or customer service generally do not qualify because they do not require a STEM degree as a foundational requirement of the position.
Are there New York-specific considerations for F-1 STEM OPT sponsorship in retail?
New York employers must comply with state labor law alongside federal STEM OPT requirements, including E-Verify enrollment, which is mandatory for all STEM OPT sponsors nationwide. New York City's retail sector is highly competitive, meaning STEM OPT candidates in analytics and technology functions often compete with local candidates. Retailers headquartered in New York must also file a training plan with USCIS through Form I-983, and the role must genuinely relate to the student's STEM degree program as evaluated by the designated school official.