Amazon.com Services LLC
Research Science, Applied Science, selling partner services
Sr.AppliedScientist,SellingPartnerCommunities(SPC)
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“Sr. Applied Scientist, Selling Partner Communities (SPC) at Amazon.com Services LLC. Skills: Machine learning, AI, Data science, Applied research. Develop AI/ML solutions. Enhance selling partner experience”
Industry & Context.
Tackle never-before-solved problems; Creatively solve problems
What They're Looking For.
Must Have
3+ years ML models business application, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning
Nice to Have
Modeling tools R, scikit-learn, Spark MLLib, Modeling tools MxNet, Tensorflow, numpy, scipy, Large scale distributed systems Hadoop, Spark, Speech recognition systems experience, Machine translation systems experience, Natural language processing systems experience, Generative AI tools experience, Integrate AI solutions into products
What You'll Do.
Develop AI/ML solutions
Enhance selling partner experience
Own technical aspects project lifecycle
Partner with business define requirements
Handle challenging problems
Collect and analyze data
Design scalable models
Develop scalable models
Deliver scalable models
Collaborate with scientists
Collaborate with engineers
Collaborate with product managers
Collaborate with business teams
Solve problems creatively
Critique peer research
Consult with engineering teams
Design data pipelines
Design modeling pipelines
Interface with software
Participate in design
Participate in implementation
Contribute to initiatives
Develop optimal solutions
Stay current with research
Translate findings into applications
Develop frameworks measure sentiment
Develop frameworks monitor sentiment
Improve content discovery
Improve content engagement
Enhance operational efficiency
Bring clarity to challenges
Create AI tools content generation
Create AI tools content validation
How You'll Work.
Team & Collaboration
Cross-functional teams; Business teams; Engineering teams
Full Job Description
The Selling Partner Communities (SPC) organization is dedicated to ensuring every Selling Partner (SP) achieves satisfaction with their Amazon selling experience. SPC serves as a vital bridge between sellers/vendors and Amazon, creating and managing platforms where they can connect, share knowledge, and receive help. The team's mission encompasses listening to SP feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. We are seeking a Sr. Applied Scientist to join our Communities team. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. Key job responsibilities The Senior Applied Scientist in the Selling Partner Communities (SPC) organization plays a crucial role in developing and implementing advanced AI and machine learning solutions to enhance the selling partner experience on Amazon. This role requires strong ownership of all technical aspects throughout the full project lifecycle, while partnering closely with the business to define requirements and exercise good judgment in balancing speed and complexity. As a senior AS on our team you will: - Handle challenging problems that directly impact millions of selling partners - Independently collect and analyze data - Design, develop and deliver scalable models, using any necessary programming, machine learning, and statistical analysis software - Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively c
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