Join Audible as a Data Scientist
At Audible, we believe in the transformative power of stories. We collaborate with some of the world's leading creators to produce and share audio storytelling with millions of global listeners. As a Data Scientist, you will be part of a team that empowers and inspires each other to create scalable solutions and models that support our business functions, including Content, Marketing, and Product.
About the Role
In this role, you will:
- Develop and validate models to optimize customer interactions.
- Build Audible-wide data engineering pipelines.
- Innovate and create groundbreaking applications using cutting-edge approaches.
- Use causal inference and develop compelling data visualizations.
- Collaborate with other data scientists, machine learning experts, and engineers on cross-disciplinary efforts.
About the Team
Audible's Data Science team partners with marketing, content, product, and technology teams to solve business and technology problems using scientific approaches. We employ scalable cutting-edge Data Science (DS), machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize content, and optimize the book-listening experience.
Basic Qualifications
- Experience with data scripting languages (e.g., SQL, Python, R) or statistical/mathematical software (e.g., R, SAS, Matlab).
- Experience with machine learning/statistical modeling data analysis tools and techniques.
- 3+ years of relevant experience; or, PhD with 1+ year of relevant experience.
- MS in Computer Science, Statistics, Data Science, Economics, Applied Mathematics, Operational Research, or a related quantitative field.
Preferred Qualifications
- Experience in Python, Perl, or another scripting language.
- Experience in a machine learning or data scientist role with a large technology company.
Why Audible?
Audible is the leading producer and provider of audio storytelling. We offer immersive, cinematic experiences full of inspiration and insight to enrich our customers' daily lives. We are a global company with an entrepreneurial spirit, passionate about the positive impact we can make for our customers and communities.
Join us and imagine your future with Audible.
Benefits Extracted with AI
- Diverse and inclusive workplace
- Opportunities for professional growth
- Collaborative work environment
Similar jobs
Last update: 23 minutes ago
Applied Scientist, Brand Understanding Team
Join Amazon's Brand Understanding Team as an Applied Scientist to drive machine learning projects and innovations.
Data Scientist
Join AWS as a Data Scientist to develop security solutions using machine learning and data analytics in Dublin.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to lead machine learning projects, optimize ad performance, and drive innovation.
Senior Data Scientist, Intelligence & Industrialization
Join Amazon as a Senior Data Scientist to optimize global supply chain operations using advanced data science and machine learning techniques.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to lead machine learning projects, optimize models, and drive innovation in advertising.
Senior Applied Scientist - Machine Learning and Data Science
Join Amazon as a Senior Applied Scientist in Palo Alto, focusing on machine learning and data science for advertising.
Lead Software Development Engineer, Consumer Domains
Lead Software Development Engineer role at Audible in Newark, NJ, focusing on consumer domains and innovative software solutions.
Applied Scientist II
Join Amazon as an Applied Scientist II to drive machine learning projects, optimize ad serving, and enhance customer experiences.
Senior Applied Scientist, Sponsored Products
Join Amazon as a Senior Applied Scientist in New York, focusing on AI, ML, and data science for Sponsored Products.
Senior Data Scientist, ADSP Product Operations & Analytics
Senior Data Scientist role at Amazon focusing on ADSP Product Operations & Analytics, leveraging machine learning and data science skills.
Data Scientist
Join Adobe as a Data Scientist to drive product decisions with data insights and machine learning strategies.
Business Data Scientist, gTech Ads
Join Google as a Business Data Scientist in New York, focusing on data analytics and machine learning for marketing.
Applied Scientist, Alexa News
Join Amazon's Alexa News team as an Applied Scientist to innovate in Generative AI and Machine Learning.
Software Development Engineer - Machine Learning
Join Amazon's PXT Central Science Team as a Software Development Engineer specializing in machine learning.
Data Scientist - Performance Models & Machine Learning Systems
Join Squarespace as a Data Scientist in NYC to develop machine learning models for fraud prevention and customer insights.
Senior Data Scientist, Machine Learning - Amazon
Senior Data Scientist role at Amazon, focusing on machine learning and LLM technologies in Seattle.
Senior Data Scientist
Join The Atlantic as a Senior Data Scientist to drive data-driven insights and machine learning solutions.
Data Scientist - Finance Data & Insights
Join Spotify as a Data Scientist in Finance Data & Insights, focusing on analytics and insights for podcasts and ads revenue.
Machine Learning Scientist
Join Amazon as a Machine Learning Scientist to develop state-of-the-art ML systems for global transportation networks.
Senior ML Applied Scientist
Join Amazon as a Senior ML Applied Scientist to develop advanced algorithms for customer account security.
Applied Scientist, Private Brands Discovery
Join Amazon's Private Brands Discovery team as an Applied Scientist to drive machine learning solutions for brand awareness.
Data Scientist - Early Career
Join Datadog as an Early Career Data Scientist focusing on data analytics, machine learning, and NLP.
Senior Applied Scientist
Join Amazon as a Senior Applied Scientist to develop machine learning models for customer safety.
Data Scientist
Join Twitch as a Data Scientist to drive insights and analytics in a remote role. Leverage SQL, Python, and data visualization skills.