Amazon
Applied Scientist II, WW Integrated Marketing Systems & Intelligence
Amazon, Santa Monica, California, United States, 90403
Applied Scientist II, WW Integrated Marketing Systems & Intelligence
5 days ago Be among the first 25 applicants
Description WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to develop machine learning solutions that transform how Amazon reaches and engages customers at global scale.
In this role, you will partner with scientists, engineers, and product managers across the US and EU to design and deploy models that power personalized, automated marketing across the funnel—from awareness to conversion. You will take ownership of the end-to-end scientific process: from problem framing and data exploration, to model development, evaluation, and deployment in production systems.
You will work on high‑impact, customer‑facing initiatives that require innovative use of ML and statistical methods, including response prediction, content selection, attribution modeling, and experimentation design. Your ability to combine deep analytical thinking with a strong understanding of scalable systems will be key to delivering measurable business value.
To be successful, you must be comfortable working independently in a fast‑paced environment, balancing short‑term delivery with long‑term innovation. You should demonstrate scientific rigor, strong coding and modeling skills, and the ability to communicate complex ideas clearly to both technical and business stakeholders.
Key job responsibilities
Innovating scalable marketing methodologies using causal inference and machine learning.
Developing interpretable models that provide actionable business insights.
Collaborating with engineers to automate and scale scientific solutions.
Engaging with stakeholders to ensure effective adoption of scientific products.
Presenting findings to the Amazon Science community to promote excellence and knowledge‑sharing.
About The Team The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazon’s marketing funnel—from brand‑building to product discovery and conversion. With a regional structure that emphasizes speed and autonomy, US teams lead upper‑funnel initiatives while EU teams focus on mid/lower funnel and Prime Value. This setup allows for localized agility while building globally scalable solutions. WIMSI combines deep domain expertise with applied science and engineering to deliver high‑velocity, customer‑centric marketing innovation.
Basic Qualifications
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 in patents or publications at top‐tier peer‑reviewed conferences or journals
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3092604
#J-18808-Ljbffr
Description WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to develop machine learning solutions that transform how Amazon reaches and engages customers at global scale.
In this role, you will partner with scientists, engineers, and product managers across the US and EU to design and deploy models that power personalized, automated marketing across the funnel—from awareness to conversion. You will take ownership of the end-to-end scientific process: from problem framing and data exploration, to model development, evaluation, and deployment in production systems.
You will work on high‑impact, customer‑facing initiatives that require innovative use of ML and statistical methods, including response prediction, content selection, attribution modeling, and experimentation design. Your ability to combine deep analytical thinking with a strong understanding of scalable systems will be key to delivering measurable business value.
To be successful, you must be comfortable working independently in a fast‑paced environment, balancing short‑term delivery with long‑term innovation. You should demonstrate scientific rigor, strong coding and modeling skills, and the ability to communicate complex ideas clearly to both technical and business stakeholders.
Key job responsibilities
Innovating scalable marketing methodologies using causal inference and machine learning.
Developing interpretable models that provide actionable business insights.
Collaborating with engineers to automate and scale scientific solutions.
Engaging with stakeholders to ensure effective adoption of scientific products.
Presenting findings to the Amazon Science community to promote excellence and knowledge‑sharing.
About The Team The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazon’s marketing funnel—from brand‑building to product discovery and conversion. With a regional structure that emphasizes speed and autonomy, US teams lead upper‑funnel initiatives while EU teams focus on mid/lower funnel and Prime Value. This setup allows for localized agility while building globally scalable solutions. WIMSI combines deep domain expertise with applied science and engineering to deliver high‑velocity, customer‑centric marketing innovation.
Basic Qualifications
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 in patents or publications at top‐tier peer‑reviewed conferences or journals
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Job ID: A3092604
#J-18808-Ljbffr