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Data Scientist, Devices Global Logistics, Mid Level
jobright.com, Seattle, Washington, us, 98127
Data Scientist, Devices Global Logistics, Mid Level
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Data Scientist, Devices Global Logistics, Mid Level
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Jobright.ai Data Scientist, Devices Global Logistics, Mid Level
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Data Scientist, Devices Global Logistics, Mid Level
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Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Amazon is seeking a creative and highly technical Data Scientist to join their Devices Global Logistics (DGL) Tech team. The role focuses on enhancing logistics capabilities through innovative data solutions, utilizing machine learning and statistical techniques to solve complex problems and improve business processes. Responsibilities: Develop science models to enhance DGL systems, also forecast, classify, and detect anomalous patterns in supply chain and develop innovative models to solve these anomalies. Work with technical and non-technical customers across every step of the project life cycle. Collaborate with our product, data engineering, and software development teams to create production implementations for large-scale applications. Develop an understanding of key business metrics / KPIs and provide clear, compelling analysis that shapes the direction of our business. Simplify and automate business processes using smart tools (algorithms, AI, and science models). Qualifications: Required: 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of data scientist experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Preferred: Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Experience with AWS services including S3, Redshift, Kendra, bedrock, Lambda, and EC2 Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, headquartered in Seattle, Washington, USA, team size 10001+ employees, currently Public Company. Amazon has a track record of offering H1B sponsorships. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Join to apply for the
Data Scientist, Devices Global Logistics, Mid Level
role at
Jobright.ai Data Scientist, Devices Global Logistics, Mid Level
1 day ago Be among the first 25 applicants Join to apply for the
Data Scientist, Devices Global Logistics, Mid Level
role at
Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Amazon is seeking a creative and highly technical Data Scientist to join their Devices Global Logistics (DGL) Tech team. The role focuses on enhancing logistics capabilities through innovative data solutions, utilizing machine learning and statistical techniques to solve complex problems and improve business processes. Responsibilities: Develop science models to enhance DGL systems, also forecast, classify, and detect anomalous patterns in supply chain and develop innovative models to solve these anomalies. Work with technical and non-technical customers across every step of the project life cycle. Collaborate with our product, data engineering, and software development teams to create production implementations for large-scale applications. Develop an understanding of key business metrics / KPIs and provide clear, compelling analysis that shapes the direction of our business. Simplify and automate business processes using smart tools (algorithms, AI, and science models). Qualifications: Required: 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of data scientist experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Preferred: Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Experience with AWS services including S3, Redshift, Kendra, bedrock, Lambda, and EC2 Company: Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, headquartered in Seattle, Washington, USA, team size 10001+ employees, currently Public Company. Amazon has a track record of offering H1B sponsorships. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for Data Scientist roles.
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