Applied Scientist, WWOS Tech
Amazon, San Francisco, CA, United States
Job ID: 10398364 | Amazon.com Services LLC
Have you ever wanted to solve a mystery or be part of solving a case? Do you love to catch bad actors, build ML models, and solve complex problems? If so, working on the WWOS Tech team as a Senior Applied Scientist is the place for you! We detect theft, fraud and organized crime across Amazon's global supply chain and operations for millions of items, protecting billions of dollars of inventory worldwide. We foster game‑changing ideas to build intelligent and self‑learning systems that maximize cost savings from inventory losses.
Key Responsibilities
Own KPIs that measure theft/fraud management performance and efficiencies.
Detect and automate theft, fraud MOs.
Detect organized crime rings and bad actor clusters.
Perform end‑to‑end evaluation of operational defects, system gaps, and scaling challenges.
Contribute to the overall fraud management and product development strategies.
Present key learnings and vision to stakeholders and leadership.
Integrate ML detection models via software applications.
Basic Qualifications
5+ years of building machine learning models for business application.
PhD, or Master’s degree with 6+ years of applied research experience.
Experience programming in Java, C++, Python, or related languages.
Experience with neural deep learning methods and machine learning.
Preferred Qualifications
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.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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Have you ever wanted to solve a mystery or be part of solving a case? Do you love to catch bad actors, build ML models, and solve complex problems? If so, working on the WWOS Tech team as a Senior Applied Scientist is the place for you! We detect theft, fraud and organized crime across Amazon's global supply chain and operations for millions of items, protecting billions of dollars of inventory worldwide. We foster game‑changing ideas to build intelligent and self‑learning systems that maximize cost savings from inventory losses.
Key Responsibilities
Own KPIs that measure theft/fraud management performance and efficiencies.
Detect and automate theft, fraud MOs.
Detect organized crime rings and bad actor clusters.
Perform end‑to‑end evaluation of operational defects, system gaps, and scaling challenges.
Contribute to the overall fraud management and product development strategies.
Present key learnings and vision to stakeholders and leadership.
Integrate ML detection models via software applications.
Basic Qualifications
5+ years of building machine learning models for business application.
PhD, or Master’s degree with 6+ years of applied research experience.
Experience programming in Java, C++, Python, or related languages.
Experience with neural deep learning methods and machine learning.
Preferred Qualifications
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.
Amazon is an equal‑opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
The base salary range for this position is USD 167,100.00 – 226,100.00 annually (USA, WA, Seattle). Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
#J-18808-Ljbffr