[Skip to main content](#main-content)

[ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/)

Amazon · Palo Alto, CA

# Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)

US, CA, Palo Alto Research & Science 

Listed on Amazon’s official careers site. Posted September 21, 2026. Check that it is still open and apply there.
[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10555006/applied-scientist-amazon-ads-forecasting-insights-and-guidance-fig)

[OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)

## Job description

Help build Amazon's world-class advertising business by applying machine learning and generative AI to hard problems in campaign optimization. As an Applied Scientist, you'll take models from problem formulation to production, working closely with engineering and product partners to deliver measurable advertiser impact.

- Experience training or adapting large language models

- Experience with sequential decision-making or optimization under uncertainty

- Experience with causal inference or rigorous evaluation of ML systems

- Experience designing experiments and performing statistical analysis of results

- Experience with modern deep learning frameworks such as PyTorch

### Key job responsibilities

- Lead end-to-end ML initiatives with high ambiguity, scale, and complexity, from problem framing through production deployment

- Develop models that improve advertiser outcomes on Amazon's advertising platform

- Design and execute experiments and statistical analyses to validate real-world impact

- Partner with engineering and product to ship science into customer-facing products responsibly

- Advance the state of the art by researching new techniques and applying them to advertising problems

### About the team

You'll join a highly motivated, collaborative, and entrepreneurial team with a broad mandate to experiment, innovate, and break new ground. Your work will directly influence advertiser success and shape the future of Amazon Advertising.

## At a glance
- Posted by the employer: Sep 21, 2026
- First seen by OpenNash: Oct 25, 2026
- Last checked: Nov 1, 2026
- Listed for: 41 days
- Location: US, CA, Palo Alto[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10555006/applied-scientist-amazon-ads-forecasting-insights-and-guidance-fig)

## Hiring at Amazon
- Open jobs: 19,174
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Weekly hiring report](/reports/hiring/)

## More jobs at Amazon

### [Principal Applied Scientist, Ads Optimization, Full Funnel Agentic Intelligence and Models](https://jobs.opennash.com/companies/amazon/jobs/1a16d0e4b7ff8047a749/)

US, CA, Palo Alto

### [Senior Applied Scientist, Sponsored Products and Brands Ads Response Prediction](https://jobs.opennash.com/companies/amazon/jobs/fd6cfb3873e3728c54a4/)

US, CA, Palo Alto

### [Senior Applied Scientist, Sponsored Products Bidding](https://jobs.opennash.com/companies/amazon/jobs/0f8da65f3525f203c3be/)

US, CA, Palo Alto

### [Machine Learning Engineer, Amazon Ads Identity](https://jobs.opennash.com/companies/amazon/jobs/1bd949a43f9e6cc4698f/)

US, CA, Palo Alto

### [Manager III, Software Dev, Search Science Data Infra](https://jobs.opennash.com/companies/amazon/jobs/fed4ea3ba618a9583af2/)

US, CA, Palo Alto

## Similar jobs at other companies

### [Principal Applied Scientist-Ads Monetization](https://jobs.opennash.com/companies/microsoft/jobs/1ed023bd5f77158ca20e/)

Microsoft · United States, Washington, Redmond, California, Mountain View

### [Senior Applied Scientist - Ads Monetization](https://jobs.opennash.com/companies/microsoft/jobs/71baa9251ca248c59d91/)

Microsoft · United States, Washington, Redmond, California, Mountain View

### [Senior Applied Scientist](https://jobs.opennash.com/companies/oracle/jobs/f8ed9ff14b05042cc65f/)

Oracle · United States

### [Sr Applied Data Scientist - Search and Browse (applied ML, LLMs, ML Ops)](https://jobs.opennash.com/companies/target/jobs/0923ac6213001fd36d99/)

Target · Canada

### [Senior AI/ML Applied Scientist](https://jobs.opennash.com/companies/unitedhealth-group/jobs/78af7d0e20840c30720f/)

UnitedHealth Group · Eden Prairie, Minnesota

OpenNash lists jobs from employers’ own careers sites and does not handle applications.
Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

[ OpenNash ](https://opennash.com/)

AI-native services firm that builds custom software and 24/7 AI agents.

OpenNash Jobs is an OpenNash Applied AI project.
[Book time with OpenNash](https://calendly.com/opennash/new-meeting?hide_gdpr_banner=1)

Jobs
- [Search jobs](https://jobs.opennash.com/search/)
- [Companies](https://jobs.opennash.com/explore/)
- [Hiring report](https://jobs.opennash.com/reports/hiring/)
- [AI assistants](https://jobs.opennash.com/connect/)
- [How it works](https://jobs.opennash.com/methodology/)

OpenNash
- [opennash.com](https://opennash.com/)
- [Services](https://opennash.com/ai-agent-consulting/)
- [OpenNash CX](https://opennash.com/cx/)
- [AI Tools](https://opennash.com/ai-tools/)
- [Blog](https://opennash.com/blog/)
- [About](https://opennash.com/about/)

Contact
- [hello@opennash.com](mailto:hello@opennash.com)

- [LinkedIn](https://www.linkedin.com/company/opennash)

- [Support](https://jobs.opennash.com/support/)

- [Privacy](https://jobs.opennash.com/privacy/)

- [Terms](https://jobs.opennash.com/terms/)

© 2026 OpenNash, Inc. Company names and public job postings belong to their respective owners. Employers control source availability and application decisions.
