E-Commerce F-1 STEM OPT Sponsorship Jobs in Washington
Washington's e-commerce sector, anchored by Amazon's global headquarters in Seattle and a growing cluster of marketplace and logistics tech companies in Bellevue and Redmond, regularly hires international graduates for data, engineering, and product roles. F-1 STEM OPT authorization aligns well with the technical degree requirements these employers typically list for qualifying positions.
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Get Access To All JobsAbout the Role
The Reserve product is a maturing product, most of the low hanging fruit initiatives to improve the experience to consistently deliver high reliability have been delivered. Currently, our focus is in building smart levers to maintain reliability while driving efficiency, improving our unit economics and growing adoption and retention.
Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.
What You Will Do
- Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy
- Run large scale experiments, observational studies, deep dives into business and user behavior trends and present findings to technical and non-technical audiences
BASIC QUALIFICATIONS
- Ph.D., M.S. or Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- 2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.).
- Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
- Good understanding of experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
- Good business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
PREFERRED QUALIFICATIONS
- Ability to drive clarity on the best analytic solution for a business objective
- Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
- Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
- Propose, design, and analyze large scale online experiments and interpret the results to draw detailed and actionable conclusions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
LOCATION
For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. 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
The Reserve product is a maturing product, most of the low hanging fruit initiatives to improve the experience to consistently deliver high reliability have been delivered. Currently, our focus is in building smart levers to maintain reliability while driving efficiency, improving our unit economics and growing adoption and retention.
Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.
What You Will Do
- Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy
- Run large scale experiments, observational studies, deep dives into business and user behavior trends and present findings to technical and non-technical audiences
BASIC QUALIFICATIONS
- Ph.D., M.S. or Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- 2+ years of industry experience as an Applied or Data Scientist or equivalent (not required with Ph.D.).
- Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
- Good understanding of experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
- Good business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
PREFERRED QUALIFICATIONS
- Ability to drive clarity on the best analytic solution for a business objective
- Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
- Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
- Propose, design, and analyze large scale online experiments and interpret the results to draw detailed and actionable conclusions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
LOCATION
For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year. 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 Washington
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Search E-Commerce Jobs in WashingtonE-Commerce Jobs in Washington: Frequently Asked Questions
Which e-commerce companies in Washington sponsor F-1 STEM OPT workers?
Amazon is the most active e-commerce employer in Washington and has an extensive history of filing Labor Condition Applications for technical roles that align with STEM OPT-eligible degree fields. Other Washington-based companies with e-commerce operations, including Chewy's tech teams and various marketplace startups in the Seattle-Bellevue corridor, have also filed LCAs for engineering, data science, and product management positions. OFLC disclosure data is the most reliable way to verify a specific employer's filing history.
Which cities in Washington have the most e-commerce F-1 STEM OPT sponsorship jobs?
Seattle concentrates the majority of Washington's e-commerce sponsorship activity, driven by Amazon's headquarters and a dense ecosystem of logistics technology, marketplace, and retail tech companies. Bellevue and Redmond also host significant e-commerce and platform engineering teams. Outside the Eastside, Kirkland and Bothell have smaller but growing technology operations tied to e-commerce infrastructure, supply chain software, and fulfillment technology.
What types of e-commerce roles typically qualify for F-1 STEM OPT sponsorship in Washington?
Roles that qualify generally require a degree in a STEM field and involve applying that training directly to the job. In Washington's e-commerce sector, qualifying positions commonly include software development engineers, data scientists, machine learning engineers, supply chain analysts, and quantitative product managers. Roles in search relevance, recommendation systems, and fulfillment optimization are particularly common given Washington's concentration of marketplace and logistics technology employers. O*NET occupation profiles can help confirm whether a specific job title falls within an eligible CIP code.
How do I find e-commerce F-1 STEM OPT sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa type and state, making it straightforward to find e-commerce employers in Washington that have a verified history of sponsoring F-1 STEM OPT workers. Rather than sorting through general job postings, Migrate Mate surfaces roles where sponsorship is a documented pattern, which is especially useful for Seattle-area e-commerce and marketplace companies where competition for international talent is high.
Are there any Washington-specific considerations for F-1 STEM OPT sponsorship in e-commerce?
Washington has no state income tax, which affects total compensation comparisons but does not change federal STEM OPT requirements. Employers in Washington's e-commerce sector must still file a Labor Condition Application with DOL and meet prevailing wage obligations under USCIS rules. Washington's concentration of large, established e-commerce employers means many HR departments are already familiar with STEM OPT authorization periods and the 24-month extension, though each employer's internal sponsorship policies differ.