Posted on 2025/03/07
Applied Scientist, AI Research
Amazon
Chicago, IL, United States
Responsibilities
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The ideal candidate will have a strong background in machine learning and experience in developing and deploying scalable, efficient models
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As a Data Science Lead, you'll work closely with the business to understand their problem space, identify opportunities, and formulate problems
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We're looking for someone who can leverage their expertise in machine learning, data mining, statistical techniques, and other areas to create actionable, meaningful, and scalable solutions for business problems
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The successful candidate will have a proven track record of building and leading high-performing teams and contributing to the development of innovative products and services
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Lead the development of machine learning models and strategies that drive business impact
-
Work closely with product owners to intake, build, and apply modeling solutions
-
Develop and maintain relationships with stakeholders across the organization to ensure alignment and communication
-
Foster a culture of innovation and experimentation within the team
Full Description
The ideal candidate will have a strong background in machine learning and experience in developing and deploying scalable, efficient models.
As a Data Science Lead, you'll work closely with the business to understand their problem space, identify opportunities, and formulate problems.
We're looking for someone who can leverage their expertise in machine learning, data mining, statistical techniques, and other areas to create actionable, meaningful, and scalable solutions for business problems. The successful candidate will have a proven track record of building and leading high-performing teams and contributing to the development of innovative products and services.
Responsibilities:
• Lead the development of machine learning models and strategies that drive business impact.
• Work closely with product owners to intake, build, and apply modeling solutions.
• Develop and maintain relationships with stakeholders across the organization to ensure alignment and communication.
• Foster a culture of innovation and experimentation within the team.

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