The Data Insights, Science and Optimization (DISCO) team is looking for a talented Research Science Manager to lead a science and business intelligence team at Amazon Music.
You will lead a team of data scientists, analysts, and engineers working closely with our Music Industry teams to drive the growth of Amazon Music. We use survey research, machine learning, experimentation and causal modeling to drive insights, uncover new opportunities, support evidence-based decision-making, and link product improvements to their impact on customer engagement. Your team will build the core intelligence, insights, machine learning models for the Music Industry & Content organizations. You will set the team vision, strategy and roadmap while partnering with our marketing teams to achieve goals.
We’re looking for someone with strong stakeholder management skills who has a track record of leading teams to deliver science-based solutions. You are equally comfortable discussing technical details with engineers and marketers and reviewing project outcomes with senior leadership. You can synthesize results and concisely communicate insights and recommendations to audiences of varying levels of technical sophistication.
About the team
Amazon Music
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. Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement.
Our team 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 in countries 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!
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
– MS degree in Business, Economics, Statistics, Data Science, Data Mining, or other quantitative field.
– 8+ years of experience in Analytics, Data Science Business Intelligence or other quantitative disciplines and a degree in statistics, economics, mathematics, or similar quantitative discipline.
– 4+ years of analytical people management experience.
– Deep experience developing successful analytics-based solutions to business problems.
– Expertise in estimation, experimental design, hypothesis and A/B testing.
– Familiarity with probability, probability distributions, statistics and causal inference.
– Knowledge of various machine learning techniques and key parameters that affect their performance.
– Knowledge of data warehouse concepts.
– Experience with AWS services.
– Excellent written and verbal communication skills.
– Experience with data scripting languages (e.g. SQL, Python, R) or statistical/mathematical software (e.g. R, SAS, or Matlab).
PREFERRED QUALIFICATIONS
– Ph.D. in Science, Engineering, Economics, Statistics or other quantitative fields.
– Excellent organizational, interpersonal, and communication skills (both written and verbal).
– Demonstrated leadership abilities, especially with cross-disciplinary efforts.
– Project management experience.
– Experience with data engineering and Big Data processing.
– Professional experience in software development (software design and development life cycle).
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,700/year in our lowest geographic market up to $324,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.