Senior Data Scientist
Amazon Music- Posted 7 hours ago
- Be among the first 10 applicants
Job Description
Description
Are you passionate about turning complex data into actionable insights that shape how millions of sellers and businesses experience Amazon EU 3P Amazon Business are looking for a Senior Data Scientist who thrives on solving ambiguous, high-impact problems using advanced analytical and machine learning techniques. In this role, you will lead the design and delivery of data science solutions that drive measurable business outcomes. You will partner with cross-functional teams to identify opportunities, develop models, and translate findings into strategies that inform critical decisions. If you are curious, collaborative, and energized by working at scale, this is an opportunity to make a meaningful difference.
Key job responsibilities
- Lead the end-to-end design, development, and delivery of data science solutions for complex business problems, applying statistical modeling, machine learning, and quantitative analysis to generate actionable recommendations.
- Evaluate and recommend appropriate data science strategies and methodologies by leveraging broad expertise across multiple disciplines, ensuring solutions are rigorous, scalable, and aligned with business goals.
- Collaborate with engineering, product, and business teams to define problem statements, advocate for relevant data collection and instrumentation, and communicate insights that influence team strategy.
- Drive data science best practices across the team by establishing standards for code quality, model validation, and reproducibility, while mentoring other data scientists and reviewing their analyses and models.
- Identify gaps in existing metrics and measurement frameworks, propose new approaches, and proactively restructure data sources to improve analytical capabilities and operational excellence.
A day in the life
You start your morning reviewing model performance dashboards and identifying areas for improvement. By mid-morning, you are deep in collaboration with engineers and product partners, aligning on how your latest analysis will shape an upcoming launch decision. After lunch, you might prototype a new machine learning approach, run experiments, or write up findings in a document for leadership review. You also carve out time to mentor a teammate on a modeling challenge and participate in a science review, offering feedback that raises the quality bar for the group. You will work with global partner data teams.
About the team
Our team is focused on using data science to solve meaningful problems that directly impact Amazon's 3P business in Europe. We value intellectual rigor, creative problem-solving, and a collaborative environment where every team member's perspective matters. We are building toward a future where our models and analyses drive smarter, faster decisions at scale. If you want to join an inclusive team that encourages experimentation and continuous learning, we would love to hear from you.
Basic Qualifications
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
Preferred Qualifications
- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
More Info
Key Skills
AWS QuickSight
data querying languages
statistical mathematical software
R Shiny
data pipelines
R
statistical models
About Company
