Senior Applied Scientist, AWS Billing
Immigration summary
Visa sponsorship
This employer sponsors this kind of work repeatedly, and is still filing this year.
2,414 recent H-1B filings · 124 similar-role filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
574 recent certified PERM filings · 13 similar-role filings
View green card evidenceJob description
AWS Billing requires a Scientist with a proven track record in time-series based anomaly detection. During the billing process there are many unknown-unknowns and detecting these are vital for ensuring an accurate bill.
Key job responsibilities
You will work closely with the usage metering and bill computation teams to build anomaly detectors that can find issues in usage and invoices. You will build production models that will be the cornerstone of our efforts to ensure accurate bills.
About the team
We are a small science team that work on high-impact projects in AWS Billing. Our work is foundational for Billing's accuracy goals. We publish our results in top conferences and play an active role in academia.
Basic qualifications
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Preferred qualifications
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
1220 of 22213 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 2,414
- recent certified H-1B filings
- 1,499
- new-hire petitions
- 124
- filings for similar roles
- 2,434
- so far in FY2026
Filed titles like this role: applied scientist · applied scientist i
More evidence details
- 124 certified H-1B filings for this same role, 1,499 new-hire petitions across the employer, and 1,618 new hires already this year
- 124 certified H-1B filings for this same role
- 2,414 recent certified H-1B filings across the employer
- Still filing this year — 2,434 filings in FY2026
- Strong filing activity in WA
- 1,220 other recent postings at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
Strong filing activity in WA.
Green card sponsorship evidence
Employer PERM history
- 574
- recent certified PERM filings
- 13
- filings for similar roles
- 389
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at AmazonHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 156 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.