Senior Data Scientist

Full time

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Employment Information

Job levelSenior level

IndustrySoftware Development

Experience5+ years

LocationNewark, NJ, United States

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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 ROLE

Are you excited about an opportunity to apply your experience and passion for Machine Learning (ML) and GenAI to analyze, model and understand content? To improve and create new capabilities for content discovery and recommendations? Are you a data scientist who’s eager to innovate and build scalable solutions that could identify the next best-sellers, or help millions of customers find their next best listen? If so, this position may be for you!

ABOUT THE TEAM

Audible Content Data Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We operate in an agile environment in which we own the life cycle of research, design, model development and, often, deployment. Data Scientists are members of an interdisciplinary research team with an integral role in the design and integration of models to support or automate decision making throughout the business in every country. Team members should be capable of modeling in the many areas of the business related, but not limited to content.

ABOUT YO

We are looking for a motivated, results-oriented Data Scientist with strong rigor and demonstrable skills in Experimentation, NLP, ML, DL, GenAI, data mining and/or large-scale distributed computation.

As a Senior Data Scientist, you will…

Identify necessary, relevant, and novel data sources residing throughout the company, from Amazon, from third party vendors, and from novel – yet to be acknowledged sources
Acquire data, which often means building the necessary SQL / ETL queries, import processes through various company specific interfaces
Explore data in order to deeply understand the phenomenon being modeled, and the validity and reliability of the inputs
Analyze and decompose the written/spoken word, the story, the author: conduct research on problems specific to the Natural Language Processing field, leverage LLMs in solving problems
Develop models that can go directly into production, and build working prototypes
Validate models against alternative approaches, expected and observed outcome, and numerous directly and indirectly relevant business defined key performance indicators
Review models of peers for the purpose of reducing and managing risk to the business, and maximizing improvement of business practice and customer experience
Build processes to provide business stakeholders timely, relevant insights, scenarios and recommendations
Link content representations to content success metrics through the use of Machine Learning / predictive modeling
Build new content-based personalized recommendation strategies

ABOUT AUDIBLE

Audible 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. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.

We are open to hiring candidates to work out of one of the following locations:

Newark, NJ, USA

BASIC QUALIFICATIONS

Master’s degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields
2+ year experience in industry (can be combined experience as intern/contractor)
2+ years in building statistical models and ML models using large datasets from multiple resources
3+ years working with Python
2+ year with non-linear models such as Neural Nets / Deep Learning and/or Gradient Boosting
1+ year of working on problems specific to Natural Language Processing and/or Large Language Models
1+ year using database technologies such as SQL / ETL
Experience explaining complex models and analysis results in clear, easy-to-understand language for non-technical audiences

PREFERRED QUALIFICATIONS

PhD degree in Data Science, Machine Learning, Statistics, Computer Science, Applied Math, or other STEM fields
1+ year experience in industry working with Customer, Content, or Product data modeling
4+ years in building statistical models and ML models using large datasets from multiple resources
3+ year with non-linear models such as Neural Nets / Deep Learning and/or Gradient Boosting (including experience with Large Language Models)
Experience applying theoretical models in an applied environment
Familiarity with AWS
Verbal and written communication and data presentation skills – with experience in publishing to scientific conferences