Senior Data Scientist, Global Media and Entertainment (GME) Econ

Key Skills

Java Programming, Design, Python Programming, SQL, AWS, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, Amazon RedShift, Amazon EMR, PySpark, SPARK Programming, AWS Sagemaker, Amazon Simple Storage Service (S3)

Job Description

Amazon’s Global Media and Entertainment (GME) organization is creating a future of entertainment where creative content, innovation, and commerce come together. We leverage Amazon’s unique expertise across video, music, gaming, and more to create a truly immersive entertainment experience.

Our team, GME Economics, is focused on building science tools to optimize Amazon’s entertainment offerings, so that we can provide a great customer experience while operating as a sustainable and profitable business. We push ourselves to Think Big, building ambitious models that create value in multiple GME businesses.

Our team answers questions like:

• How do innovations in one GME business impact customer growth in another?
• Which content should we recommend to a Prime Video regular who is trying Amazon Music for the first time?
• How can we understand the GME customer lifecycle better, from new acquisitions to power users?

We are looking for a Senior Data Scientist with experience working on large, collaborative science projects. To be successful in this role, you will need strong communication, an ability to work closely with stakeholders across our many GME partner teams, and the skill to translate data-driven findings into actionable insights. This includes developing a deep understanding of our business context, which is ambiguous and can change quickly. Your work will be used by decision-makers across GME to deliver the best entertainment experience for our customers, which makes quality and timeliness critical. Our healthy team culture is supportive and fast-paced, and we prioritize learning, growth, and helping each other to continuously raise the bar.

Impact and Career Growth:

Data science is an essential part of today’s entertainment landscape. You’ll help GME leaders ask the right questions, and then deliver data-driven answers, creating the future of GME at Amazon. You’ll help define a long-term science vision for our team and translate it into an actionable roadmap. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding – a perfect recipe for career growth as a data scientist.

This role may be located in Seattle, Los Angeles (Culver City), or New York City.

Key job responsibilities

• Design and build new, scalable data science models to address diverse business needs, using methods from statistics, machine learning, and economics
• Improve existing models by developing new data sources, adding new functionality, and tuning
• Pull and analyze structured (e.g. content catalog) and unstructured (e.g. customer review text) data
• Working with other scientists on the team, design and evaluate customer-facing randomized experiments
• Collaborate with PMs to build product roadmaps, ensuring our work meets the needs of our stakeholders and then communicating progress and findings to them
• Write business and technical documents communicating business context, methods, and results to business leadership and other scientists
• Work with engineers within and outside our org to productionize data science models
• Serve as a technical lead and mentor for junior scientists, ensuring a high science bar
• Serve as a technical reviewer for our team and related teams, including document and code reviews

BASIC QUALIFICATIONS

• Master’s degree in statistics, computer science, economics, or related field
• 4+ years work experience as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
• Proficiency in Python, including pandas and sci-kit learn, and SQL
• Proficiency in data science model development, validation, and implementation
• Excellent written and verbal communication for technical and non-technical audiences

PREFERRED QUALIFICATIONS

• Experience working with economists, software development teams, and other technical roles on large, complex data science projects
• Experience processing, filtering, and presenting large quantities (millions to billions of rows) of data
• Experience with graph theory and building knowledge graphs
• Proficiency in Spark/PySpark, TensorFlow, PyTorch, Scala
• Experience with AWS tools such as Sagemaker, EMR, S3, and Redshift

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