H-1B1 Singapore Visa Applied Scientist Jobs
Applied Scientist jobs with H-1B1 Singapore visa sponsorship give Singaporean nationals a direct path to U.S. research and machine learning roles without lottery risk. The H-1B1 cap of 5,400 visas rarely fills, and consulate processing in Singapore means no USCIS petition wait before you start.
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Get Access To All JobsINTRODUCTION
PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities
- Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
- Contribute to the long-term success of our research-driven algorithmic trading business
BASIC QUALIFICATIONS
- Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
- Research intuition
- Experience in programming (Python, R, Matlab, C++)
- Excellent communication and collaborative white board skills
- Meticulous and detail-oriented, and innately driven to understand issues deeply
- Experience with/interested in working with large data sets
- Self-motivated and highly-productive, with a strong sense of ownership and urgency
- Able to work collaboratively and productively with others
- Enjoy solving complex, difficult, real-world problems
- Entrepreneurial and creative
- Finance knowledge is not required or expected
- PhD preferred
- Undergraduate or Masters degree with equivalent industry experience in machine learning + 2+ years of applied machine learning research experience
- Strong publication record
- Experience with the Python scientific stack
ADDITIONAL QUALIFICATIONS
We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team.
COMPENSATION
- Salary range: $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.
INTRODUCTION
PDT, a quantitative investment manager, is hiring problem solvers who blend programming and applied research experience. Individuals in this role will devise, implement, evaluate, and iterate to create and improve statistical methods vetting them through direct application to enhancing our trading strategies. Applied ML scientists are expected to navigate quantitative and technical challenges within a project to advance our research methodology. They will have ample opportunity to collaborate with our deep bench of senior researchers and technologists. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. We love to work on challenging and complicated problems, that in return give a chance to make outsized, direct impact on our bottom line. For the right talent, there is fantastic growth potential. This is a hybrid position and will require the person to work from our New York City office at minimum 3 days a week.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world—measured by the quality of our products, not their size. PDT’s very high employee-retention rate speaks for itself. Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.
Responsibilities
- Work closely with senior researchers on a variety of trading strategies and research projects, with the opportunity to conduct independent research and originate research topics over time
- Contribute to the long-term success of our research-driven algorithmic trading business
BASIC QUALIFICATIONS
- Solid mathematical and analytical ability; exceptional problem-solving and modeling ability
- Research intuition
- Experience in programming (Python, R, Matlab, C++)
- Excellent communication and collaborative white board skills
- Meticulous and detail-oriented, and innately driven to understand issues deeply
- Experience with/interested in working with large data sets
- Self-motivated and highly-productive, with a strong sense of ownership and urgency
- Able to work collaboratively and productively with others
- Enjoy solving complex, difficult, real-world problems
- Entrepreneurial and creative
- Finance knowledge is not required or expected
- PhD preferred
- Undergraduate or Masters degree with equivalent industry experience in machine learning + 2+ years of applied machine learning research experience
- Strong publication record
- Experience with the Python scientific stack
ADDITIONAL QUALIFICATIONS
We take research seriously. Beyond your resume, we want to understand your research history and the papers most relevant to evaluating your candidacy. We strongly encourage you to answer all application questions and allow us to understand you as a researcher and determine where you would be the strongest fit in our team.
COMPENSATION
- Salary range: $190,000 and $250,000. This range is not inclusive of any potential bonus amounts. Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.
PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.
See all 531+ H-1B1 Singapore Visa Applied Scientist Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as an Applied Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation with a direct degree-to-job connection. For Applied Scientist roles, a degree in computer science, statistics, or a closely related quantitative field is expected. A general business or unrelated STEM degree can draw scrutiny at the consulate.
Check the prevailing wage before negotiating
Your employer must file an LCA certifying your offered wage meets the DOL prevailing wage for Applied Scientist in your work location. Run the OFLC Wage Search before your offer stage so you know the floor and can negotiate above it.
Target employers with active LCA filing history
Not every tech or research employer understands the H-1B1 visa process. Use Migrate Mate to filter Applied Scientist roles by employers who have filed H-1B1 visa or H-1B visa LCAs, so you're pursuing companies already set up to sponsor rather than educating HR from scratch.
Confirm your employer enrolls in E-Verify
E-Verify enrollment isn't required for all H-1B1 visa employers, but many large tech and federal contractor employers use it. Ask during the offer stage, since E-Verify status affects onboarding timelines and whether you'll face additional I-9 verification steps on day one.
Prepare your O*NET occupation classification early
Consular officers and employers reference the O*NET profile for Applied Scientist to confirm specialty occupation status. Pull the O*NET entry before your interview and reconcile your actual job duties against the listed tasks, since a poor match between your offer letter and the profile is a common source of additional documentation requests.
Request a short start-date window in your offer letter
H-1B1 visa consulate appointments in Singapore move faster than USCIS processing, but your visa is tied to the LCA start date. Negotiate a start date at least four to six weeks out to give your employer time to get LCA certification from DOL before your interview.
Frequently Asked Questions
Does an Applied Scientist role qualify as a specialty occupation for the H-1B1 Singapore visa?
Yes. Applied Scientist roles typically require at least a bachelor's degree in computer science, machine learning, statistics, or a directly related quantitative field, which meets the specialty occupation standard. Your employer confirms this in the Labor Condition Application filed with DOL before your consulate appointment. If your job duties include significant research, modeling, or algorithm development, the classification is straightforward.
How does the H-1B1 Singapore visa compare to H-1B for Applied Scientist positions?
The H-1B1 visa skips the annual lottery entirely, which is the single biggest practical difference for Singaporean nationals. H-1B has an 85,000-slot cap with a registration lottery that leaves many qualified candidates unselected. The H-1B1 has a separate 5,400-slot annual cap that historically goes unused, and your application is adjudicated at the U.S. Embassy in Singapore rather than through a months-long USCIS review. The tradeoff is that H-1B1 doesn't allow dual intent, so demonstrating nonimmigrant intent at the consulate matters.
How do I find Applied Scientist employers who will sponsor the H-1B1 Singapore visa?
Migrate Mate is built for this search. It filters Applied Scientist roles by employers with documented H-1B1 visa and H-1B LCA filing history, so you can identify companies that have already navigated visa sponsorship rather than approaching employers who have never done it. This saves significant time during a job search where the employer's willingness to file is as important as the role itself.
Can I switch Applied Scientist employers while on H-1B1 status in the United States?
Yes, but the H-1B1 visa is employer-specific, so your new employer must file a fresh LCA and you'll need a new visa stamp at the consulate before or shortly after switching. There's no portability provision like H-1B's AC21 rule, so plan the timing carefully. A gap between your old employer's end date and the new LCA certification can create a status issue if not managed closely.
What happens if the DOL prevailing wage for Applied Scientist is higher than my offer?
Your employer cannot file a compliant LCA unless the offered wage meets or exceeds the DOL prevailing wage for the Applied Scientist occupation in your specific work location. If the offer is below that threshold, the employer must either raise the salary or the sponsorship can't proceed. Run the OFLC Wage Search before finalizing your offer so both you and your employer know the wage floor in advance.