Position Details

Type Full-Time

Experience senior

Exp. Years 3+ years

Education PhD, or Master's degree and 6+ years of applied research experience

Category AI & Machine Learning

About this role

Applied Scientist to design and deploy deep learning models for time series forecasting on Amazon's Retail data, influencing global operations and strategies.

Key Responsibilities

Design new deep learning algorithms and creative approaches to push forecasting performance beyond state-of-the-art
Build end-to-end solutions deployed at scale
Collaborate with product, software engineers, and scientists; publish and present work

Technical Overview

Hands-on ML research and production modeling, with Python/PySpark and distributed systems experience; familiarity with multiple DL frameworks and large-scale data processing.

Ideal Candidate

Senior applied scientist with 3+ years ML modeling, PhD or MS+6 years research, and strong deep learning and time-series forecasting expertise to drive production-grade forecasting models.

Must-Have Skills

3+ years of building machine learning models for business application experiencePhDor Master's degree and 6+ years of applied research experienceExperience programming in JavaC++Python or related languageExperience with neural deep learning methods and machine learning

Nice-to-Have Skills

Experience with modeling tools such as Rscikit-learnSpark MLLibMxNetTensorflownumpyscipy etc.Experience with large scale distributed systems such as HadoopSpark etc.

Tools & Platforms

PythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorFlowNumPySciPyHadoopSpark

Required Skills

Machine LearningDeep learningTime series forecastingPythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorFlowNumPySciPyHadoopSpark

Hard Skills

Machine LearningDeep learningTime series forecastingPythonPySparkJavaC++Rscikit-learnSpark MLLibMxNetTensorFlowNumPySciPyHadoopSpark

Soft Skills

Research collaborationCommunicationProblem-solvingPublication/PresentationTeamwork

Industry & Role

Industry Retail

Job Function Develop and deploy ML models for time series forecasting to enhance Amazon Retail forecasting at scale.

Role Subtype Data Scientist

Tech Domains Python, PySpark, R, Java, C++, TensorFlow, scikit-learn, Spark, Hadoop

Keywords for Your Resume

applied scientistscottime series forecastingmachine learningdeep learningneural networkspythonpysparkjavacpprscikit-learnspark mllibmxnettensorflownumpyscipyhadoopsparkproductionresearchneuris

Deal Breakers

Less than 3 years ML modeling experience, No PhD or MS+6 years research experience

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