Amazon
Applied Scientist II, AWS Marketing Measurement
Amazon, Seattle, Washington, us, 98127
Applied Scientist II, AWS Marketing Measurement Job ID: 2730760 | Amazon.com Services LLC
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.The Amazon Web Services (AWS) Marketing Science team seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions to measure and optimize AWS events, advertising, and customer engagements to optimize investments, and inform decisions across marketing and sales. You will work on high-impact, high-visibility products, with your work improving the experience of AWS leads and customers.The ideal candidate possesses solid understanding of machine learning fundamentals, has experience writing high quality software in production setting, and experience or interest in causal inference and causal ML. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possesses the drive to tackle complex challenges, swiftly delivering impactful solutions while iterating on science and user feedback, develops strong working relationships and thrives in a collaborative team environment.Key job responsibilities
Analyze, understand, and model customer behavior based on large scale dataLead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimizationDesign, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelinesBuild and deploy automated model training and evaluation pipelinesResearch and implement novel deep learning, reinforcement learning, and/or machine learning based algorithms to deliver insights on customer behaviorInfluence long-term science initiatives and mentor other scientists across AWSBASIC QUALIFICATIONS
3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applicationExperience in professional software developmentAdvanced proficiency with statistical modeling, experimental design, and machine learning algorithmsPatents or publications at top-tier peer-reviewed conferences or journalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
February 21, 2024
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Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.The Amazon Web Services (AWS) Marketing Science team seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions to measure and optimize AWS events, advertising, and customer engagements to optimize investments, and inform decisions across marketing and sales. You will work on high-impact, high-visibility products, with your work improving the experience of AWS leads and customers.The ideal candidate possesses solid understanding of machine learning fundamentals, has experience writing high quality software in production setting, and experience or interest in causal inference and causal ML. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possesses the drive to tackle complex challenges, swiftly delivering impactful solutions while iterating on science and user feedback, develops strong working relationships and thrives in a collaborative team environment.Key job responsibilities
Analyze, understand, and model customer behavior based on large scale dataLead the design, development, deployment, and innovation of advanced science models in the strategic area of marketing measurement and optimizationDesign, build, and deploy effective and innovative ML solutions to improve components of our ML and causal inference pipelinesBuild and deploy automated model training and evaluation pipelinesResearch and implement novel deep learning, reinforcement learning, and/or machine learning based algorithms to deliver insights on customer behaviorInfluence long-term science initiatives and mentor other scientists across AWSBASIC QUALIFICATIONS
3+ years of building models for business application experiencePhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceExperience programming in Java, C++, Python or related languagePREFERRED QUALIFICATIONS
Experience building machine learning models or developing algorithms for business applicationExperience in professional software developmentAdvanced proficiency with statistical modeling, experimental design, and machine learning algorithmsPatents or publications at top-tier peer-reviewed conferences or journalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:
February 21, 2024
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