Principal Data Scientist, Disco M&G

Job Description

Job summary
This role can be based in New York, San Francisco, Seattle, Los Angeles or Atlanta.

Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical voice in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more. Amazon Music is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and voice-forward audio engagement on mobile and Amazon Echo devices, powered by Alexa to support our customer base. Amazon Music offerings are available around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives. Come innovate with the Amazon Music team!

The Data, Insights, Science and Optimization, Marketing & Growth (DISCO M&G) team is looking for a Principal Data Scientist to join a team of Data Scientists, Business Intelligence Engineers and Data Engineers who analyze big data, provide analytics and insights as well as build models and algorithms that power ''hands off the wheel'' (HOTW) marketing for personalized experiences. DISCO M&G team focuses on accelerating Amazon Music customer growth by empowering Marketing & Growth teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints. In this role, you will set the science vision and direction for the team and collaborate with internal stakeholders across marketing, growth, product, science and finance teams to scale and advance our science offerings. The ideal candidate must be willing to effectively lead large scale science solutions, prioritize across multiple stakeholders and projects and be ready to jump into a fast-paced, dynamic and fun environment.

Key job responsibilities
• Lead research and development of models and science products powering personalized marketing
• Partner with Marketing & Growth leaders at Amazon Music to develop science-driven business strategy
• Partner with science, marketing and product teams across Amazon entertainment and subscription businesses
• Educate and evangelize across internal teams on analytics, insights and measurement by writing whitepapers and knowledge documentation and delivering learning sessions.
• Lead DISCO M&G science practice and provide coaching to a distributed team of scientists

BASIC QUALIFICATIONS
• MSc in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• 10+ years of practical experience applying science to solve complex business problems
• Experience applying various machine learning techniques and understanding the key parameters that affect their performance
• Expertise in estimation, experimental design, hypothesis and A/B testing, statistics and causal inference.
• Experience with data scripting languages (e.g. SQL, Python) or statistical/mathematical software (e.g. R, SAS, or Matlab).
• Excellent organizational, interpersonal, and communication skills (both written and verbal)
• Ability to work cross-functionally and with others with diverse skill sets
• Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Defining and identifying success
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
• Experience with end-to-end feature development (owning feature definition, roadmap development and experimentation

PREFERRED QUALIFICATIONS
• Experience in marketing, advertising technology or entertainment domain
• Experience with writing academic-styled papers for presenting both the methodologies used and results for data science projects
• Combination of technical and business acumen, with ability to advocate technical solutions for science with engineering and business audiences.
• Ph.D. in Science, Engineering, Economics, Statistics or other quantitative fields
• Knowledge of data warehouse and AWS services.
• A passion for music!

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records

Jobcode: Reference SBJ-gm81p3-3-16-130-155-42 in your application.