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Tier-1 brand, generalist Data Scientist title, mid-level experience, metro location, and broad ML skillset increase competition.
Core ML skills are transferable, but fulfillment marketplace domain knowledge raises fit sensitivity to medium.
Explicit multi-year minimums and mandatory ML, SQL, and scripting skills make shortlisting criteria strict and technical.
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Develop, deploy, and maintain machine learning models and science solutions to enhance Amazon Seller Fulfillment Services business performance.
Translate business requirements into complex analytical outputs and design experiments to measure model impact on customer experience and cost.
Collaborate across science, engineering, product management, and business teams to build scalable predictive solutions using large datasets.
Minimum 2 years experience as a data scientist.
At least 3 years experience with data querying (e.g., SQL) and scripting languages (e.g., Python) or statistical software.
Master's degree in STEM or equivalent experience in STEM field.
Experience applying theoretical models in applied settings.
Has hands-on expertise in feature engineering, machine learning model development, and hyper-parameter tuning with large data sets in high-throughput environments.
Capable of designing experiments and interpreting model performance for business impact and cost effectiveness.
Effective at cross-disciplinary collaboration with scientists, engineers, product managers, and stakeholders in a fast-paced tech environment.