Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category AI & Machine Learning

About this role

As an Applied Scientist on Amazon Ads Sponsored Products and Brands, you will lead end-to-end Machine Learning work to improve sponsored customer experiences and drive performance. You will build and deploy ML models, run A/B experiments, and create automated processes for large-scale data analysis and model validation.

Key Responsibilities

Drive end-to-end Machine Learning projects with ambiguity and scale
Build and deploy machine learning models into production
Run A/B experiments with data gathering and statistical analysis
Establish automated processes for large-scale data analysis and model development
Research and apply new machine learning approaches

Technical Overview

The role focuses on hands-on Machine Learning for advertising optimization and performance analysis, including model development through proof-of-concept to production deployment. You will also perform statistical analysis for A/B experiments and build scalable workflows for model validation and serving.

Ideal Candidate

The ideal candidate is a hands-on Applied Scientist who has led end-to-end Machine Learning projects from proof-of-concept through production deployment. They have strong experience with A/B experiments, statistical analysis, and scaling data pipelines/processes to generate insights that improve monetization and customer experience.

Must-Have Skills

Drive end-to-end Machine Learning projects that have a high degree of ambiguityscalecomplexityhands-on analysis and modeling of enormous data setsBuild machine learning modelsperform proof-of-conceptexperimentoptimizeand deploy your models into productionRun A/B experimentsgather dataand perform statistical analysisResearch new and innovative machine learning approaches

Required Skills

Machine Learningend-to-end Machine Learning projectshands-on analysisdata modelingA/B experimentsstatistical analysismodel developmentproof-of-conceptexperimentationmodel optimizationmodel validationmodel servingautomated processesdeploy models into productionresearch new and innovative machine learning approachesGenAI first approach

Hard Skills

Machine Learningend-to-end Machine Learning projectshands-on analysisdata modelingA/B experimentsstatistical analysismodel developmentproof-of-conceptexperimentationmodel optimizationmodel validationmodel servingautomated processes for large-scale data analysisresearch new and innovative machine learning approaches

Soft Skills

technical leadershipoperates with a GenAI first approachcollaborationworks with external and internal partnerssolving complex challengesentrepreneurial spirit

Industry & Role

Industry E-commerce

Job Function Lead Machine Learning initiatives for Sponsored Products and Brands advertising optimization, from experimentation to production deployment

Role Subtype AI Researcher

Tech Domains Amazon Web Services

Keywords for Your Resume

Applied ScientistMachine Learningend-to-end Machine Learning projectshands-on analysisdata modelingenormous data setsbuild machine learning modelsproof-of-conceptA/B experimentsstatistical analysisautomated processesmodel validationmodel servingexperimentdeploy your models into productionResearch new and innovative machine learning approachesGenAI first approachperformance analysiscustomer insights

Deal Breakers

Must have hands-on Machine Learning project experience with A/B experiments and statistical analysis, Must have experience deploying machine learning models into production

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Applied Scientist, Sponsored Products

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