Easter Seals Jobs

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

We are currently looking for Data Science Interns to help drive innovation for our user interfaces on Audible products. You will be expected to work closely with our team members on the study of user behaviors, gain deeper understanding of our user experience and help make better data-driven recommendations around applications like better targeting customers and prospects, understanding and personalizing the content and context needed to optimize their book-listening experience, and translating business goals into agile, insightful analytics to inform critical business decisions

At Audible, you will have an opportunity to make the best of your skillsets to both develop advanced scientific solutions and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business and business requirements, identifying opportunities from a large amount of historical data and engaging in cutting-edge research to solve the business problems. You’ll seek to create value for both stakeholders and customers and inform findings in a clear, actionable way to managers and senior leaders. You will be at the heart of an agile and growing area at Audible.

ABOUT THE TEAM

Audible Data Scientists are members of a global interdisciplinary insights and research team with an integral role in the design and integration of models to automate decision making throughout the business in every country. We empower the cutting-edge machine learning and deep learning techniques in the many areas of the business, including but not limited to:

• Customer: segmentation, clustering, acquisition, retention, engagement, recommendations

• Content: (e)valuation, natural language processing, attributes & representations (in text, audio, cover art), recommendations, trends

• Product: user click stream analysis, search engine optimization, recommendations

We translate business goals into agile, insightful analytics and seek to create value for both stakeholders and customers and convey findings in a clear, actionable way to managers and senior leaders.

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. 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

• Currently pursuing a MS/PhD in computer science, statistics, mathematics, operations research, data science, economics, or another discipline involving experimental design and quantitative analysis of experimental data

• 1+ years of hands-on experience with machine learning, predictive modeling, and/or statistical analysis techniques

• Development experience with Python or equivalent scripting languages

• Demonstrated knowledge in extracting data using SQL

Preferred Qualifications

• Exposure to software engineering environments (version control, command line…).

• Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms.

• Ability to tackle very loosely defined problems and consistently deliver elegant, modular and scalable solutions in a timely manner

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.