Amazon · 2 hours ago
Research Scientist, Amazon Music - DISCO
Seattle, Washington, USA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $184K/yr
4+ years expAmazon is a leading immersive audio entertainment service, and they are seeking a highly skilled Research Scientist to optimize marketing activities for Amazon Music. The role involves developing causal models, conducting randomized controlled trials, and providing data-driven insights to enhance marketing strategies and drive business growth.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
Responsibilities
Develop Causal Models
Design, build, and validate causal models to evaluate the impact of marketing campaigns and initiatives. Leverage advanced statistical methods to identify and quantify causal relationships
Conduct Randomized Controlled Trials
Design and implement randomized controlled trials (RCTs) to rigorously test the effectiveness of marketing strategies. Ensure robust experimental design and proper execution to derive credible insights
Statistical Analysis and Inference
Perform complex statistical analyses to interpret data from experiments and observational studies. Use statistical software and programming languages to analyze large datasets and extract meaningful patterns
Data-Driven Decision Making
Collaborate with marketing teams to provide data-driven recommendations that enhance campaign performance and ROI. Present findings and insights to stakeholders in a clear and actionable manner
Collaborative Problem Solving
Work closely with cross-functional teams, including marketing, product, and engineering, to identify key business questions and develop analytical solutions. Foster a culture of data-informed decision-making across the organization
Stay Current with Industry Trends
Keep abreast of the latest developments in data science, causal inference, and marketing analytics. Apply new methodologies and technologies to improve the accuracy and efficiency of marketing measurement
Documentation and Reporting
Maintain comprehensive documentation of models, experiments, and analytical processes. Prepare reports and presentations that effectively communicate complex analyses to non-technical audiences
Qualification
Required
PhD, or Master's degree and 4+ years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Experience in causal modeling like graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments, and data science workflows
Preferred
Knowledge of R, MATLAB, Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Experience in machine learning, statistics, and deep learning
Experience working with data mining on large datasets
Experience working with cross-functional teams
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
H1B Sponsorship
Amazon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-23
2026-01-23
Company data provided by crunchbase