Applied Scientist, Personalization, DTx Science

Amazon Science; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs and sign-on

Comprehensive benefits

Job summary

Amazon Science, part of Amazon Advertising, seeks an accomplished Applied Scientist to lead ML-driven strategies across recommendation and personalization programs. You will shape the applied science roadmap, collaborate with cross-functional teams, and deliver impactful solutions for millions of advertisers.

You will drive end-to-end ML projects, experiment with large-scale data, and deploy models with engineers.

Qualifications

• 3+ years of building models for business applications.
• Experience with ML methods and data-driven decision making.
• Strong programming and software development experience.

Responsibilities

• Lead ML projects from planning to production deployment.
• Model development, experimentation, and validation.
• Conduct hands-on analysis of large-scale data to derive business insights.
• Collaborate with engineers to ship models to production.
• Run A/B experiments and statistical analyses to validate models.
• Develop scalable data analysis and model-serving pipelines.
• Explore innovative ML approaches to push boundaries.

Skills

Hands-on ML analysis

Collaborative teamwork

Education

PhD or Master’s with 5+ years CS/CE/ML

Tools

Java

C++

Python

Job description

Description

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

Description

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!

About The Team

The DTx Science team is the centralized science team within Demand Tech Experience (DTx), dedicated to improving and protecting the advertiser experience across ad consoles through applied science methodologies. The team drives impact through four core functions: Ad Console Personalization, Recommendation Development, Ad Console Experimentation, and DVA Agent Evaluation and Impact Measurement.

We are looking for an accomplished machine learning expert to lead the Applied Science strategy for our recommendation creation and personalization program.

In this role, you will work closely with business leaders, stakeholders and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact for millions of advertisers worldwide and the company using advanced data techniques and applied science methodologies.

Improve advertiser experience: Ad Console Personalization and Recommendation Development aim to improve the advertiser ad console experience by providing customized and personalized console experiences for each user and increasing their ad performance with relevant, science-backed onboarding and oppertunty recommendations.

Protect advertiser experience: Ad Console Experimentation and DVA Agent Evaluation and Impact Measurement protect the advertiser experience by supporting the organization in making data-driven decisions to launch UX and agentic features that benefit advertisers.

Key job responsibilities

As an Applied Scientist on this team, you will

• Serve as the technical leader in Machine Learning, driving collaboration between scientists and engineers, guiding efforts within the team and collaborating with other teams.
• Conduct hands‑on analysis and modeling of large-scale data to generate insights that boost ads revenue while maintaining a positive advertiser and shopper experience.
• Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.
• Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.
• Run A/B experiments, gather data, and perform statistical analysis to validate your models.
• Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.
• Explore and research innovative machine learning approaches to push the boundaries of what’s possible.

Basic Qualifications

• 3+ years of building models for business application experience
• PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience using Unix/Linux
• Experience in professional software development

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, NY, New York - 172,400.00 - 223,400.00 USD annually

USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually