Research Scientist I, WW Integrated Marketing Systems & Intelligence

Amazon • Seattle, WA

12h

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• Experience applying forecasting and data mining techniques

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.

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree