Amazon
Senior Applied Scientist, ShipTech Analytics
Amazon, Bellevue, Washington, us, 98009
Senior Applied Scientist, ShipTech Analytics
Transform analytics at global scale with cutting-edge AI/ML and GenAI - Join the founding team of the Science Center of Excellence at ShipTech Analytics!
Revolutionize transportation analytics worldwide by leveraging the latest AI/ML research and technologies at Amazon ShipTech Analytics (STA). As a Sr. Applied Scientist, you'll spearhead initiatives to tackle critical business challenges, optimizing operations and driving innovation across Amazon's massive transportation network.
Key Responsibilities:- Pioneer flagship AI programs, employing traditional ML and GenAI to derive insights and recommendations for crucial metrics like Delivery Estimate Accuracy (DEA).- Optimize business review processes at scale, directly impacting operations for 100K+ Amazonians worldwide.- Collaborate with top minds in AI/ML, working on complex, high-impact problems in the transportation domain.- Drive innovation and thought leadership in supply chain analytics, shaping the future of Amazon's logistics operations.
We're seeking motivated, multi-talented individuals passionate about pushing the boundaries of AI/ML and GenAI in transportation analytics. Join the founding team of STA's Science Center of Excellence and leave your mark on Amazon's global logistics operations. Apply now for this unique opportunity to transform analytics at an unprecedented scale!
Minimum Qualifications:- 4+ years of building machine learning models for business application experience.- PhD, or Master's degree and 6+ years of building machine learning models for business application experience.- Experience programming in Java, C++, Python or related language.- Experience with neural deep learning methods and machine learning.- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.- Knowledge and practical experience in building large-scale solution in transportation and logistics domain.
Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
#J-18808-Ljbffr
Transform analytics at global scale with cutting-edge AI/ML and GenAI - Join the founding team of the Science Center of Excellence at ShipTech Analytics!
Revolutionize transportation analytics worldwide by leveraging the latest AI/ML research and technologies at Amazon ShipTech Analytics (STA). As a Sr. Applied Scientist, you'll spearhead initiatives to tackle critical business challenges, optimizing operations and driving innovation across Amazon's massive transportation network.
Key Responsibilities:- Pioneer flagship AI programs, employing traditional ML and GenAI to derive insights and recommendations for crucial metrics like Delivery Estimate Accuracy (DEA).- Optimize business review processes at scale, directly impacting operations for 100K+ Amazonians worldwide.- Collaborate with top minds in AI/ML, working on complex, high-impact problems in the transportation domain.- Drive innovation and thought leadership in supply chain analytics, shaping the future of Amazon's logistics operations.
We're seeking motivated, multi-talented individuals passionate about pushing the boundaries of AI/ML and GenAI in transportation analytics. Join the founding team of STA's Science Center of Excellence and leave your mark on Amazon's global logistics operations. Apply now for this unique opportunity to transform analytics at an unprecedented scale!
Minimum Qualifications:- 4+ years of building machine learning models for business application experience.- PhD, or Master's degree and 6+ years of building machine learning models for business application experience.- Experience programming in Java, C++, Python or related language.- Experience with neural deep learning methods and machine learning.- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.- Knowledge and practical experience in building large-scale solution in transportation and logistics domain.
Amazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
#J-18808-Ljbffr