Amazon
Applied Scientist II, WW Integrated Marketing Systems & Intelligence
Amazon, New York, New York, us, 10261
Applied Scientist II, WW Integrated Marketing Systems & Intelligence
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 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.
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.
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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 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.
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.
#J-18808-Ljbffr