Applied Scientist Green Card Jobs
Applied Scientist roles sit squarely within EB-2 and EB-3 eligibility, making them strong candidates for employer-sponsored green card sponsorship through the PERM labor certification process. Employers file the I-140 immigrant petition after PERM approval, and your priority date determines when you can adjust status to permanent residency.
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Get Access To All JobsABOUT THE ROLE
We’re looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.
This role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.
You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
We’re a small, nimble team, so there’s ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.
- Experience developing quantitative models to support real-world decision-making under uncertainty
- Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
- Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
- Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
- Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
- Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
NICE TO HAVE
- Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
- Background in real estate, housing, finance, or adjacent marketplace domains
- Familiarity with distributed data processing tools such as Pyspark
- Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
- Experience working with large language models (LLMs) or vision-language models (VLMs)
- Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
- Develop demand and conversion models using both pre-listing and post-listing signals
- Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
- Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
- Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
- Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
- Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component
COMPENSATION
The base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
ABOUT THE ROLE
We’re looking for an Applied Scientist to work on some of the hardest quantitative problems at Opendoor. This role will focus primarily on structural modeling, econometrics, optimization, and decision-making under uncertainty, with applications spanning pricing, resale strategy, demand modeling, and risk management.
This role will contribute to our broader valuation and pricing ecosystem and we’re looking for someone who can combine strong modeling intuition with hands-on execution and strong engineering to build practical solutions for a low-margin, high-stakes business where small improvements can have an outsized impact.
You’ll work on problems like modeling post-listing demand, estimating price elasticity, designing experiments, building structural models, and developing optimizers that help us make better decisions across our products and inventory.
We’re a small, nimble team, so there’s ample opportunity to shape both the modeling direction and how these systems get used in production decision-making.
- Experience developing quantitative models to support real-world decision-making under uncertainty
- Strong coding skills in Python, with the ability to move beyond prototyping and implement production-quality scientific code
- Experience with one or more of the following: causal inference, Bayesian modeling, structural modeling, demand forecasting, pricing science, or mathematical optimization
- Comfort working with messy, high-dimensional real-world data and translating ambiguous business problems into rigorous modeling approaches
- Advanced degree (MS or PhD preferred) in statistics, mathematics, economics, operations research, computer science, or another quantitative discipline
- Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
NICE TO HAVE
- Experience in pricing, marketplace modeling, revenue management, supply/demand systems, inventory optimization, or risk modeling
- Background in real estate, housing, finance, or adjacent marketplace domains
- Familiarity with distributed data processing tools such as Pyspark
- Experience with machine learning methods broadly, including where deep learning can complement structured statistical modeling
- Experience working with large language models (LLMs) or vision-language models (VLMs)
- Build models that help Opendoor make better decisions around pricing, resale strategy, and portfolio risk
- Develop demand and conversion models using both pre-listing and post-listing signals
- Design and improve optimization frameworks that balance objectives like margin, conversion, and risk
- Apply statistical, econometric, and mathematical modeling techniques to problems where structure matters and pure black-box prediction is not enough
- Design experiments and measurement approaches to quantify price elasticity, customer response, and product trade-offs
- Partner with Engineering, Product, and Operations to turn models into systems that influence real decisions
- Bring a pragmatic, hands-on approach: move quickly from idea to prototype to production-ready scientific component
COMPENSATION
The base pay range for this position is $156,800-$335,000 annually, plus RSUs. Pay within this range by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We’ve built an end-to-end online experience that has already helped thousands of people and we’re just getting started.
See all 255+ Applied Scientist jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Applied Scientist roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as an Applied Scientist
Document your research output before applying
Compile publications, patents, models deployed at scale, and citations into a credential file before your first interview. PERM and I-140 filings require employers to substantiate why your background meets the role's minimum requirements, and gaps slow the process.
Target employers with active PERM filing histories
Companies that have filed PERM applications for Applied Scientist roles already understand the DOL recruitment and prevailing-wage obligations. Use Migrate Mate to filter for employers with verified green card sponsorship activity specific to this occupation.
Verify the role qualifies as a specialty occupation
The DOL evaluates whether the Applied Scientist duties genuinely require an advanced degree in a specific field. Pull the O*NET profile for the occupation and confirm the job description aligns with the specialty-occupation definition before PERM is filed.
Request the prevailing wage determination tier early
PERM requires the employer to pay at least the DOL prevailing wage for your location and job zone. Ask your employer which wage level they plan to submit and cross-check it against the OFLC Wage Search to avoid a mismatch that triggers an audit.
Understand concurrent filing if your priority date is current
If your country of birth and EB category allow it, USCIS permits concurrent filing of the I-140 and I-485 once a visa number is immediately available. This can compress the green card timeline significantly compared to waiting for sequential approvals.
Applied Scientist jobs are hiring across the US. Find yours.
Find Applied Scientist JobsApplied Scientist Green Card Sponsorship: Frequently Asked Questions
Does an Applied Scientist role qualify for EB-2 or EB-3 green card sponsorship?
Applied Scientist positions typically qualify for EB-2 when the role requires a master's degree or higher in a field like computer science, statistics, or a related discipline. Roles requiring only a bachelor's degree can qualify under EB-3 as a skilled worker. Your employer's job description and the DOL's occupational classification both factor into which category USCIS accepts.
How does PERM green card sponsorship differ from H-1B sponsorship for an Applied Scientist?
H-1B is a temporary work visa with a three-year initial period, a lottery for most applicants, and no path to permanent residency on its own. PERM-based EB-2 or EB-3 sponsorship is a permanent residency process with no annual cap at the petition stage, though visa number availability by country of birth affects how quickly you can file for adjustment of status. The PERM process also requires the employer to conduct a formal recruitment test and obtain a prevailing-wage determination from the DOL before filing.
How long does the green card process take for an Applied Scientist sponsored by a U.S. employer?
The PERM labor certification stage alone currently averages well over a year at the DOL analyst review queue. After PERM approval, I-140 processing at USCIS adds several more months unless the employer uses premium processing. For applicants born in countries with backlogged priority dates, the wait for an available visa number can extend the total timeline by years.
Where can I find Applied Scientist jobs where the employer will sponsor a green card?
Most job postings don't specify PERM sponsorship willingness upfront. Migrate Mate surfaces roles where employers have a documented history of filing green card petitions for Applied Scientist and related positions, so you can focus your search on companies that have already navigated the PERM process rather than negotiating sponsorship from scratch.
Can my employer start PERM sponsorship while I'm on an H-1B or OPT?
Yes. PERM is an employer-driven process independent of your current work authorization status. Employers can initiate the DOL prevailing-wage determination and recruitment steps while you're on H-1B, OPT, or another work-authorized status. Starting early matters because the PERM and I-140 stages can take two or more years before you reach adjustment of status.
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