Applied Science Manager Advertising Incrementality Measurement jobs at Amazon in United States, Boulder

Application deadline: Dec 17, 2025Key job responsibilities
* Partner with economists and senior team members to drive science improvements and implement technical solutions at the state-of-the-art of machine learning and econometrics
* Partner with engineering and other science collaborators to design, implement, prototype, deploy, and maintain large-scale causal ML models.
* Carry out in-depth research and analysis exploring advertising-related data sets, including large sets of real-world experimental data, to understand advertiser behavior, highlight model improvement opportunities, and understand shortcomings and limitations.
* Define data quality standards for understanding typical behavior, capturing outliers, and detecting model performance issues.
* Work with product stakeholders to help improve our ability to provide quality measurement of advertising effectiveness for our customers.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with ML modeling toolkits such as sklearn, PyTorch, Tensorflow, etc.
- Experience with data exploration and querying technologies such as pandas, SQL, and Spark.
- Very strong written communication skills. An ideal candidate needs to be able to distill complex technical details into tangible insights for leaders and stakeholders.

- Experience with causal inference, A/B testing, experimentation, etc.
- Experience with MLOps practices for developing models in a production setting.
- Experience with causal ML modeling (e.g. double machine learning, uplift modeling)
- Familiarity with AWS systems (e.g. S3, EMR, Sagemaker).
- Experience with statistical visualization (e.g. ggplot2, plotly, Seaborn).
- Experience with digital advertising is a bonus, but not required.

Key job responsibilities

- 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

- 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.

In this role you will work with team to build the new generic platform by using latest AWS technologies. You will solve interesting technical challenges with creative ideas in the domain combined by event driven application and Serverless technologies. You will build features for the distributed and large-scale system which will handle billions or trillions transactions. You have opportunities to re-shape the experience of Serverless development.A day in the life
Why AWS
**Diverse Experiences**
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* ***Mentorship and Career Growth**
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.About the team
*Utility Computing (UC)*

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

This role will involve designing and developing software products that impact many areas of our business. The individual in this role will have responsibility to help define requirements, create software designs, implement code to these specifications, provide thorough unit and integration testing, and support products while deployed and used by our stakeholders.

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
Come with great ideas on how to create self-service, highly scalable, and incredibly fast (think <200ms) apis and systems to deliver ads quickly all across the globe.A day in the life

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

As a successful candidate, you will be passionate about building scalable systems. You'll be comfortable with ambiguity and have exceptional technical acumen. You'll be up to speed on the latest research, and capable of developing new techniques at the intersection of causal inference, reinforcement learning and quantitative marketing. You will lead other scientists by example, with crisp technical writing and frequent presentations.Key job responsibilities
- Build end-to-end causal machine learning solutions.
- Perform hands-on analysis and modeling with enormous data sets to better understand how advertising influences shopper behavior.
- Work closely with engineering to design systems that facilitate high velocity science exploration and quick prototype-to-prod timelines.
- Develop novel methods at the intersection of causal inference, machine learning and quantitative marketing.
- Present original research at internal and external conferences.

- 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

- 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.