You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. * Feature extraction, feature engineering and feature selection. Amazon. Amazon is an electronic commerce and cloud computing ... from every piece of text and image we sell. Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, EMR, AML, etc. Apply on company website Save. Referrals increase your chances of interviewing at Amazon by 2x, Get email updates for new Applied Scientist jobs in Seattle, WA. Copyright © 2008–2020, Glassdoor, Inc. "Glassdoor" and logo are registered trademarks of Glassdoor, Inc. Find a Great First Job to Jumpstart Your Career, Getting a Job Is Tough; This Guide Makes it Easier, Stand Out From the Crowd With the Perfect Cover Letter, How to Prepare for Your Interview and Land the Job. Amazon Corporate LLC Applied Scientist in Seattle, Washington An information-rich and accurate product catalog is a strategic asset for Amazon. Depends on - location, level within the "Senior" position you've been offered, interview performance, the business group you are being hired for (not all group offer same salaries), number of years of experience, papers published etc. Applied Scientist Amazon Seattle, WA 2 weeks ago Be among the first 25 applicants. Amazon Principal Applied Scientist salaries are collected from government agencies and companies. Sign in to save Applied Scientist at Amazon. Amazon Seattle, WA Find Amazon Seattle Applied scientist at amazon jobs on Glassdoor. #HereYouCanGoAnywhere Come build the future with us: https://amzn.to/332t15D, Learn more about the Amazon Seattle office. Amazon Applied Scientist 2, L5. Seattle, WA Date posted: Nov 11, 2020. Sep 21, 2018 0. We are looking for experienced applied scientists build the next level of intelligence that will help Amazon Marketplace Sellers to succeed and grow their businesses. We are looking for passionate applied scientists who are excited to solve challenging and open-ended problems in the creation of recommendation products. You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Base Salary Ranges. city, state, country. Get hired. Meeting business requirements will involve combining several different machine learning algorithms with domain knowledge into sophisticated ML workflows. We are rapidly growing but we are still in Day 1 in terms of what yet remains to be accomplished. Associate Scientist/Scientist Mass Spectrometry, Research Scientist, Recommendation System, Scientist I, Core Technologies, Analytics, Senior Deep Learning Scientist, Perception - Autonomous Vehicles, Senior Scientist (Synthetic Biology & Antibody Engineering), Scientist/Senior Scientist Pharmaceutical Sciences, Principal Scientist - Antibody Discovery and Protein Engineering, Principal Scientist Immune Tumor Microenvironment, Work with business teams, product/program managers, engineers and leadership to identify and prioritize customer and business problems, Translate these problems into specific analytical questions and form hypotheses that can be answered with available data using statistical methods or identify additional data needed in the master datasets to fill any gaps, Perform hand-on data analyses and modeling with huge datasets to develop insights and recommendations to inform decisions across the program, Design and run A/B experiments to validate the hypotheses and evaluate the impact of your optimizations and communicate your results to various stakeholders, Collaborate with engineers and product managers to build scalable solutions and new capabilities, Help on projects of high visibility across the organization and deliver business impact, Masters in Computer Science, Engineering, Statistics or related field, Experience working with business stakeholders, identifying and prioritizing requirements, building models, conducting analyses and developing insights to enable decisions, Excellent analytical and problem-solving skills, 3+ years of experience in statistical modeling tools (e.g., R), scripting languages (e.g., Python, Scala), relational data systems and data warehouses, 2+ years of experience in big data systems and machine learning techniques, Strong verbal and written communication and data presentation skills, Familiarity with using data visualization tools, Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format, PhD in Computer Science, Engineering, Statistics or equivalent experience, Ability to think innovatively and creatively about complex technical and business problems, Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams, Experience working with web-scale data sets and distributed computing tools (e.g., Map Reduce, Hive, Spark). The vision for Softlines Discovery Science team is to create services, processes, tools and platforms to support innovative and engaging search and browse experiences for Amazon Fashion customers. Applied Scientist, Machine Learning vacancy in Seattle, WA with Amazon. This estimate is based upon 121 Amazon Applied Scientist salary report (s) provided by employees or estimated based upon statistical methods. Amazon Corporate LLC Applied Scientist in Seattle, Washington. Sign in to create your job alert for Applied Scientist jobs in Seattle, WA. Companies like Amazon Applied Scientist jobs in Seattle, WA at other companies. Applied Scientist in Seattle, WA. The average salary is $89,500. 228 Senior Applied Scientist jobs available in Seattle, WA on Indeed.com. I tried to argue the total package, but they give me the offer below. Two questions were used to measure my ability to read code. Applied Scientist II Amazon Seattle, WA. Applied Scientist Job in Seattle, WA at Amazon Job Description Play a key role in the adoption of Amazon Private Brands by working on a range of challenging problems related to discovery, selection and customer feedback. You can change your cookie choices and withdraw your consent in your settings at any time. 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