Research Scientist I, WW Integrated Marketing Systems & Intelligence
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
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 funnelfrom 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. WIMSIs 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 were tackling complex challenges in marketing incrementality measurement optimization and audience this role youll collaborate with a diverse team of scientists and economists to build and enhance causal measurement optimization and prediction models for Amazons global multi-billion dollar fixed marketing budget. Youll 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 Amazons marketing funnelfrom 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.
- PhD in a quantitative field or MS degree and 1 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience with data analysis package (R SAS Matlab etc.)
- Experience using SQL databases to manage and analyze large data sets
- PhD in operations research applied mathematics theoretical computer science or equivalent
- Experience applying forecasting and data mining techniques
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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 125500.00 - 169800.00 USD annually
Required Experience:
IC
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
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