Offers “Amazon”

Expires soon Amazon

Data Scientist

  • Seattle (King County)
  • Studies / Statistics / Data

Job description

DESCRIPTION

Want to transform the way people enjoy video, music & books? Come join the team that made Prime Music, Spotify, Pandora, Live radio, Audible books, Kindle books, Podcasts, and more available to Alexa customers.
You will have an enormous opportunity to impact the customer experience, design, architecture, and implementation of cutting edge products that will be used every day by people you know. We're looking for people who are passionate about innovating on behalf of customers, demonstrate a high degree of product ownership, and want to have fun while they make history.

Alexa Music is looking for a talented Data Scientist who is passionate about using data to facilitate and drive business decisions. In this role, you will:
· Predict future customer behavior and business conditions (Machine Learning, Predictive Modeling)
· Understand the impact Alexa Music features have on our customers and business (Experiment Design, Hypothesis Testing, Causal Inference)
· Shape our products and activities to improve the customer experience and business impact
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
If you have an entrepreneurial spirit, know how to deliver, are deeply analytical, highly innovative and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you.

Desired profile

BASIC QUALIFICATIONS

· Master's or PhD in a relevant field
· 3+ years' experience with various data analysis and visualization tools
· Experience using Python, Perl, or another scripting language; command line usage
· Experience diving into data to discover hidden patterns and conducting error analysis
· Experience applying various machine learning techniques and understanding the key parameters that affect their performance
· Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships
· Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.

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