Java Programming, Design, Python Programming, SQL, AWS, PowerBI, Big Data Technology, Machine learning techniques, Data science techniques, R Programming, Amazon RedShift, Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Large scale data processing, Data pipelines
Amazon’s Alexa is a cloud-based voice service that powers Amazon’s groundbreaking voice-powered devices. These devices are part of Amazon’s vision to build a computer in the cloud that is completely controlled by your voice. Alexa Music is a critical Alexa domain, focused on delivering magical music experiences that drive adoption and engagement with Alexa.
The Alexa Audio Data and Insight (AUDI) team consists of 12 talented Data Scientists, Business Intelligence Engineers, and Data Engineers. We seek an experienced Senior Data Scientist to drive Alexa Music customer engagement. You are the data science lead to define the ambiguous space. We are looking for a thought leader and you demonstrate this by delivering solutions, not just by having ideas. We encourage you to shape the business strategy with data driven recommendations. A successful candidate has an entrepreneurial spirit and wants to make a big impact on Alexa Music customers. You will develop strong working relationships and thrive in a collaborative team environment. Your role requires the ability to influence a virtual team of contributors and interact with marketing executives. You draw from a broad data science expertise to mentor Scientists and Business Intelligence Engineers; following a rigorous scientific methodology, while providing leadership on complex technology issues. You provide guidance on cutting-edge methods in big data processing, data science literature, experimentation and careful consideration of modeling decisions. We expect you to have breadth of data science knowledge, familiar with casual inference and depth in predictive modeling (supervised learning) and A/B testing.
Responsibilities
A day in the life
When we work together, we operate:
Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback;
About the team
We are a team of 13 made up of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Data Scientists (DS’s), who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, and the Audio Category.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
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.
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
Vancouver, BC, Canada
2-4 year
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2-4 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Berlin, Germany
2-4 year
Arlington, VA, USA
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Austin, TX, USA
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Bellevue, WA, USA
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California City, CA, USA
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Newark, NJ, USA
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Newark, NJ, USA
2-4 year
Seattle, WA, USA
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Seattle, WA, USA
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Seattle, WA, USA
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Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Seattle, WA, USA
2-4 year
Sumner, WA, USA
2-4 year
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Mumbai, Maharashtra, India
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Berlin, Germany
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New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
Westborough, MA, USA
0-2 year
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Seattle, WA, USA
6-8 year
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6-8 year
New York, NY, USA
6-8 year
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4-6 year
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0-2 year
New York, NY, USA
0-2 year
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0-2 year
Arlington, VA, USA
0-2 year
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4-6 year
Arlington, VA, USA
4-6 year
Seattle, WA, USA
4-6 year
San Diego, CA, USA
4-6 year
Irvine, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year
Brisbane QLD, Australia
0-2 year
Adelaide SA, Australia
0-2 year
Canberra ACT, Australia
0-2 year
Vancouver, BC, Canada
4-6 year
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2-4 year
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0-2 year
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Seattle, WA, USA
0-2 year
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2-4 year
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8-10 year