E-Commerce F-1 STEM OPT Sponsorship Jobs in New York
New York's e-commerce sector spans global marketplaces, direct-to-consumer brands, and logistics technology firms, with major employers concentrated in Manhattan and Brooklyn. F-1 STEM OPT sponsorship is active across roles in data analytics, software engineering, and supply chain technology, where degree-aligned positions at companies like Amazon, Etsy, and Shopify regularly support OPT extensions.
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Get Access To All JobsAbout the Role
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
About the Team (We are hiring for multiple teams)
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
- Fulfillment: Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
- Consumer: We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
- Ads: Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
- Offer: We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
- Merchant: Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
- Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
- Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Design and analyze experiments, present results that provide actionable recommendations.
- Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
- Owning the product development cycle end-to-end from data and science aspects.
Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Ability to use Python/R to work efficiently at scale with large data sets.
Preferred Qualifications
- Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
- Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
- Excellent communication skills across technical, non-technical, and executive audiences.
- Experience within a Delivery or Ecommerce business.
Compensation
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
About the Role
Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!
We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.
About the Team (We are hiring for multiple teams)
We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:
- Fulfillment: Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
- Consumer: We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
- Ads: Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
- Offer: We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
- Merchant: Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.
- Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
- Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Design and analyze experiments, present results that provide actionable recommendations.
- Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
- Owning the product development cycle end-to-end from data and science aspects.
Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Ability to use Python/R to work efficiently at scale with large data sets.
Preferred Qualifications
- Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
- Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
- Excellent communication skills across technical, non-technical, and executive audiences.
- Experience within a Delivery or Ecommerce business.
Compensation
For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
E-Commerce Job Roles in New York
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Search E-Commerce Jobs in New YorkE-Commerce Jobs in New York: Frequently Asked Questions
Which e-commerce companies in New York sponsor F-1 STEM OPT visas?
Several large e-commerce and marketplace employers with New York operations have documented F-1 STEM OPT sponsorship history, including Amazon, Etsy, Shopify, and Poshmark. Retail technology firms and D2C brands headquartered in Manhattan and Brooklyn also appear in DOL Labor Condition Application filings for STEM-designated roles. Sponsorship patterns vary by team, role level, and current headcount, so verifying active filings for specific positions is important before applying.
Which cities in New York have the most e-commerce F-1 STEM OPT sponsorship jobs?
Manhattan concentrates the highest volume of e-commerce F-1 STEM OPT roles, particularly in Midtown and the Flatiron District where technology and retail-tech companies cluster. Brooklyn, especially DUMBO and Industry City, has a growing base of D2C e-commerce startups and fulfillment technology firms. Albany and Buffalo have a smaller share of sponsoring employers, making New York City the dominant geography for OPT-eligible e-commerce candidates.
How do I find e-commerce F-1 STEM OPT sponsorship jobs in New York?
Migrate Mate is built specifically for international students and filters e-commerce jobs in New York by F-1 STEM OPT sponsorship history, using DOL LCA filing data to surface employers who have actively sponsored OPT workers in relevant roles. Searching by STEM designation and filtering to New York lets you target companies with verified sponsorship patterns rather than relying on employer self-reporting in job postings.
What types of e-commerce roles typically qualify for F-1 STEM OPT sponsorship in New York?
Roles that qualify for STEM OPT extension must be tied to a STEM-designated degree and involve a direct application of that field. In e-commerce, qualifying positions commonly include data analyst, machine learning engineer, software engineer, product analyst, supply chain analyst, and quantitative researcher roles. Marketing, content, and account management positions generally do not qualify unless the employer can demonstrate a direct connection to a STEM field of study.
Are there any New York-specific considerations for F-1 STEM OPT sponsorship in e-commerce?
New York's competitive hiring environment means e-commerce employers receive high application volumes, and many use structured STEM OPT training plans as a differentiator for retaining international talent ahead of H-1B visa sponsorship decisions. New York also has strong state labor protections that affect how employers structure formal training agreements required under the STEM OPT extension, so candidates should confirm their employer is registered with E-Verify, which is a federal requirement for all STEM OPT extensions.