Job Description: Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, analytical, and creative leaders with innovation at our core. We’re pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we’ve created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). Note: This role will support the Just Walk Out Tech organization that is enabling frictionless shopping experiences for convenience stores, full-size grocery stores, and through our 3rd party partner stores. Job Responsibilities: Identify and recommend opportunities to automate systems, tools, and processes. Define and conduct experiments to optimize JWO shopping experience and inquires, and communicate insights and recommendations to product, engineering, and business teams Interview stakeholders to gather business requirements and translate them into concrete requirement for data science projects Define metrics and design algorithms to estimate customer satisfaction and engagement in real-time Apply data science techniques to automatically identify trends, patterns, and frictions of customer interaction and retention Build models that forecast growth and incorporate inputs from product, engineering, finance and marketing partners Work with data engineers and software development engineers to deploy models and experiments to production Job Requirements: 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) Bachelor's Degree 4+ years working as a Data Scientist. Experience with building natural language processing applications and models Experience with large datasets (billions of rows) Strong business acumen and product sense Experience with AWS technologies (SageMaker, Redshift, RDS, S3, EMR, etc.) and Hadoop ecosystems (Spark, MapReduce, YARN, Hive, etc.) Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/BI tools and environments Strong communication and presentation skills necessary to build effective working relationships and positively influence decision making 2+ years of experience as Tech Lead among data scientists 2. 5+ years working as a Data Scientist or related fields Job Details: Company: Amazon Vacancy Type: Full Time Job Location: Arlington, VA, USA Application Deadline: N/A Apply Here careers-trivia.net
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