Audible, Inc. is a leading company in the audio entertainment industry, and they are seeking a Data Scientist II to design and implement scalable solutions to support decision making across the business. The role involves applying data science techniques, building production-ready models, and collaborating with stakeholders to communicate insights and develop products.
Independently own, design, and implement scalable and reliable solutions to support or automate decision making throughout the business
Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the approach is unclear
Acquire data by building the necessary SQL/ETL queries
Import processes through various company specific interfaces for accessing RedShift, and S3/edX storage systems
Deliver artifacts on medium size projects that affect important business decisions
Build relationships with stakeholders and counterparts, and communicate model outputs, observations, and key performance indicators (KPIs) to the management to develop sustainable and consumable products and product features
Explore and analyze data by inspecting univariate distributions and multivariate interactions, constructing appropriate transformations, and tracking down the source and meaning of anomalies
Build production-ready models using statistical modeling, mathematical modeling, econometric modeling, machine learning algorithms, network modeling, social network modeling, natural language processing, large language models and/or genetic algorithms
Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators
Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production
Qualification
Required
Requires a Master's degree in Statistics, Computer Science, Computer Engineering, Data Science, Machine Learning, Applied Math, Operations Research, or a related field plus two (2) years of experience as a Data Scientist or other occupation involving data processing and predictive Machine Learning modeling at scale
Two (2) Years In Each Of The Following: Utilizing specialized modelling software including Python or R
Building statistical models and machine learning models using large datasets from multiple resources
Building non-linear models including Neural Nets, Deep Learning, or Gradient Boosting
One (1) Year In Each Of The Following: Building production-ready solutions or applications relying on Large Language Models (LLM), accessed programmatically and beyond just prompting
Evaluating LLM results at scale or fine-tuning LLMs
Building production-ready recommendation systems
Using database technologies including SQL or ETL
Alternatively, will accept a Bachelor's degree and five (5) years of experience
Preferred
Benefit
Audible is an internet provider of spoken audio entertainment, educational programming, and information. It is a sub-organization of Amazon.
