AI Engineer - Deep Learning

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

Hey – there’s a revolution going on! A revolution in digital entertainment. Every day millions of people around the world choose to be more thoughtfully entertained, informed and educated by listening to fascinating stories and all forms of fictional and non-fictional content. Want to shape the future of this innovation through statistics and machine learning? If so, this may be a great fit for you!

Audible is looking for a data scientist to support our growth marketing analytics team.

In this role, you will make the best of your skillset to use science and analytics to help Audible’s marketing team ensure each customers receives the right customer with the right message and offer at the right time to optimize for full-funnel, incremental, long-term measurable value.

You will analyze complex datasets, build scalable solutions, clear reports, dashboards, and other data assets, design tests and methodologies for their evaluations in a statistically rigorous manner, and leverage models including supervised and unsupervised learning and simulations to explain, quantify, predict and prescribe in support of informing critical marketing and product 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.

As a Data Scientist, you will...

• Partner with stakeholders as a strategic collaborator by owning data science modeling and analyses end-to-end, providing business partners with timely, relevant insights, scenarios, and recommendations, and democratizing results via internal intelligence platforms for long-term use
• Leverage model development and validation to produce tangible, actionable insights and work with senior marketing leaders to guide the marketing roadmap and business strategy at both holistic and granular levels, with a focus on growth via organic channels and promotions
• Manage a portfolio of highly consumable competitive intelligence assets (e.g., models, forecasts, segmentations, dashboards, papers, presentations, datasets) that can be used strategically across stakeholder and analyst groups and find opportunities to enhance that portfolio based on stakeholder needs and feedback
• Analyze A/B tests across Amazon and Audible surfaces, provide recommendations based on testing results, and deep-dive into results to develop new hypotheses for continuous testing-and-learning
• Use causal inference and other sophisticated statistical techniques to measure the incremental impact of marketing and product initiatives (including major marquee promotions, product launches, and ongoing campaigns) at a macro and micro level, and leverage results to make actionable recommendations
• Build dashboards and scorecards that enable leaders to understand and act upon data to create and iterate on various marketing tactics
• Build scalable data engineering pipelines at Amazon scale
• Imagine and invent before the business asks, and create groundbreaking solutions using cutting-edge approaches
• Contribute to the growth of the Audible Insights Org by sharing and developing ideas and learning from others
  
  

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.

Basic Qualifications

• MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field
• 3 yrs relevant experience; or, PhD +1 yr relevant experience
• Fluent in SQL, Python, and visualization software (ex. Tableau or similar)
• Deep knowledge of A/B testing and randomized-controlled test design, statistics, and causal inference
  
  

Preferred Qualifications

• Passion for data and insights, modeling, research design and cutting-edges algorithms curiosity, and resourcefulness
• Domain knowledge of comparable products (digital, retail)
• Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
• Experience with Container Platforms (Docker, Kubernetes/Fargate)
• Experience with Streaming data processing
• Experience with R, RShiny, and Scala
• Experience with Agile Software Development
• Exposure to software engineering environments (version control, command line…)
• Big Data Engineering with Spark / AWS EMR & Glue
• PhD in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field and 4+ year experience
  
  

Amazon 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.


Company - Audible, Inc. - B13

Job ID: A2722825