Applied Scientist — ML & Causal Inference

Amazon

Seattle (WA)

Hybrid

USD 143,000 - 193,000

Full time

4 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Job summary

Amazon Ads is building a large-scale business and seeks an Applied Scientist to develop ML/AI models and causal inference studies that help advertisers find, engage with, and succeed through partners. You will design, build, and productionize ML/AI and econometric solutions, handling ambiguous, high-impact problems with autonomy and collaboration with product managers, engineers, and sales teams.

The role involves end-to-end model ownership, A/B experimentation, large-scale data analysis, and

Qualifications

3+ years of building models for business applications.
PhD, or Master’s degree with 4+ years in CS/CE/ML or related field.
Experience programming in Java, C++, Python or related language.
Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing.
3+ years of hands-on predictive modeling and large data analysis experience.

Responsibilities

Design, prototype, validate, and productionize ML models across science domains.
Own one or more production science models end-to-end—from scoping to deployment and monitoring.
Design and run A/B experiments to validate impact on partner growth and ad spend.