DESCRIPTION
We are entering a new era where human machine interactions will have an unprecedented level of intelligence and automaticity with profound impacts on our daily lives and how businesses are conducted. Alexa holds the promise to address the last-10-ft challenge and enable novel applications across versatile domains. We are building a new Alexa team to raise the bar.
We are seeking a Data Scientist to innovate across broad machine learning areas from new language models (for improved natural language understanding accuracy in complex environments) to personalized recommendation services based on real time data.
This role is a great fit for a leader who is passionate about innovations and seeks growth opportunities to make disruptive impacts.
BASIC QUALIFICATIONS
Bachelor's Degree
3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
2 years working as a Data Scientist
Graduate degree (MS or PhD) in Mathematics, Statistics, Electrical Engineering, Computer Sciences or related field
1+ years of experience working in data science, statistical learning, deep learning, natural language understanding, or related disciplines.
PREFERRED QUALIFICATIONS
Experience working with modern tools for big data storage and analysis (e.g., AWS, Apache Spark, Hadoop, SQL, NoSQL)
Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations.
Understanding of Computer Science fundamentals of data structures, object-oriented design, algorithm design, and complexity analysis.
Understanding of foundational statistics concepts and algorithms such as linear/logistic regression, random forest, boosting, neural networks, decision trees, LVQ, SVM, etc.
Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
Hands on experience in building deep learning models, especially RNNs (LSTM, BiLSTM etc.)
Amazon is an Equal Opportunity Employer Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.