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 job responsibilities

WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to transform how Amazon reaches and engages customers at global scale. WIMSI’s mission is to build the most measurably effective, creatively impactful, and cross-channel campaigning capabilities possible, with the aim of growing "big-bet" programs, strengthening positive brand perceptions, and increasing long-term free cash flow. As a science team, we're tackling complex challenges in marketing incrementality measurement, optimization and audience segmentation. In this role, you'll collaborate with a diverse team of scientists and economists to build and enhance causal measurement, optimization and prediction models for Amazon's global multi-billion dollar fixed marketing budget. You'll also work closely with various teams to develop scientific roadmaps, drive innovation, and influence key resource allocation decisions.

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

PREFERRED QUALIFICATIONS - Experience using Unix / Linux

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants : Job duties for this position include : work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

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.