Senior Data Scientist
Company: Amazon.com
Location: Newark
Posted on: September 30, 2024
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Job Description:
At Audible, we believe stories have the power to transform
lives. It's why we work with some of the world's leading creators
to produce and share audio storytelling with our millions of global
listeners. We are dreamers and inventors who come from a wide range
of backgrounds and experiences to empower and inspire each other.
Imagine your future with us.ABOUT THIS ROLEAs Senior Data
Scientist, you will build scalable solutions and models to support
our business functions (Marketing, Product, Content). Leveraging a
range of methods including machine learning and simulation, you
will explain, quantify, predict and prescribe in support of
informing critical business decisions. You will translate business
goals into agile, insightful analytics. You will seek to create
value for both stakeholders and customers and inform findings in a
clear, actionable way to managers and senior leaders. ABOUT THE
TEAM Audible data science team partners with marketing, content,
product, and technology teams to solve business and technology
problems using scientific approaches to build product and services
that surprise and delight our customers. We employ scalable
cutting-edge machine learning (ML), causal inference (CI) and GenAI
/ Natural Language Processing (NLP) knowledge to better target
customers and prospects, understand and personalize the content,
and context needed to optimize their book-listening experience. We
operate in an agile environment in which we own and collaborate on
the life cycle of research, design, and model development of
relevant projects.ABOUT YOUWe are looking for a motivated,
results-oriented Data Scientist with strong rigor and demonstrable
skills in ML, CI, NLP, data mining and/or large-scale distributed
computation.As a Senior Data Scientist, you will...- Develop and
validate models to optimize the Who, When, Where and How of all our
interactions with customers- Develop Amazon-scale data engineering
pipelines- Imagine and invent before the business asks, and create
groundbreaking applications using cutting-edge approaches- Develop
compelling data visualizations- Work closely with other data
scientists, ML experts, engineers as well as business across globe,
and on cross-disciplinary efforts with other scientists within
Amazon- Contribute to the growth of the Audible Data Science team
by sharing your ideas, intellectual property and learning from
othersABOUT AUDIBLEAudible is the leading producer and provider of
audio storytelling. We spark listeners' imaginations, offering
immersive, cinematic experiences full of inspiration and insight to
enrich our customers daily lives. We are a global company with an
entrepreneurial spirit. We are dreamers and inventors who are
passionate about the positive impact Audible can make for our
customers and our neighbors. This spirit courses throughout
Audible, supporting a culture of creativity and inclusion built on
our People Principles and our mission to build more equitable
communities in the cities we call home.BASIC QUALIFICATIONS-
Modeling, research design experience and exposure to cutting-edge
algorithms- MS in one of the following disciplines: Computer
Science, Statistics, Data Science, Economics, Applied Math,
Operational Research or a related quantitative field and 6+ years
relevant experience; or, PhD and 3+ years relevant experience-
Experience with methods for causal inference using longitudinal
data and more generally (panel, regression, diff-in-diff, etc.)-
Fluency in English, both written and spoken- Fluent in SQL, Python-
Exposure to software engineering environments (version control,
command line...)- Machine Learning Pipeline orchestration with AWS
(SageMaker, Batch, Lambda, Step Functions)- Experience with Docker
Container Platform- Experience with machine learning methods for
Bayesian estimation and inference- Experience with Agile Software
DevelopmentPREFERRED QUALIFICATIONS- Domain knowledge of comparable
products (marketing, digital, retail)- Big Data Engineering with
Spark / AWS EMR & GlueAmazon 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.
Keywords: Amazon.com, Newark , Senior Data Scientist, Other , Newark, New Jersey
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