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Amazon Web Services (AWS) seeks an Applied Scientist II for a cross-functional team focusing on ML-based products. The role involves developing models to assist AWS sellers in understanding customers and optimizing sales strategies. Candidates should have a strong background in computer science and relevant experience in the field.
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Description
We are hiring an Applied Scientist for a cross-functional team that builds ML-based products to help AWS sellers understand customers and optimize sales strategies. This scientist will help develop and maintain a suite of ML models that identify the most valuable opportunities and customers for AWS sellers to engage and the types of actions they should take to optimize those engagements.
Description
We are hiring an Applied Scientist for a cross-functional team that builds ML-based products to help AWS sellers understand customers and optimize sales strategies. This scientist will help develop and maintain a suite of ML models that identify the most valuable opportunities and customers for AWS sellers to engage and the types of actions they should take to optimize those engagements.
Key job responsibilities
This applied scientist role partners with AWS business leaders across the organization to develop and deliver models and evidence to guide strategic decision and planning. The successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges and ambiguous starting points, and possesses strong communication skills to effectively interface and collaborate with product, finance, and business teams.
A day in the life
Our team takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement.
About The Team
Our group is technically rigorous and encourages ongoing academic conference participation and publication. Our leaders are here for you and to enable you to be successful. We believe in being servant leaders focused on influence: good data work has little value if it doesn’t translate into actionable insights that are rolled out and impact the real economy. We are communication centric since being able to explain what we do ensures high success rates and lowers administrative churn. Also: we laugh a lot. If it’s not fun, what’s the point?
Basic Qualifications
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