Senior Data Scientist

Amazon is hiring a Senior Data Scientist in Hyderabad, India. Level rates it ; you can apply on Level.

AI in this role

Lead the design and delivery of advanced data science and machine learning solutions for EU 3P Amazon Business.

pythonsql

machine-learningstatistical-modelingdata-sciencequantitative-analysis

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Data Scientist at Amazon rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Senior Data Scientist is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TS, Hyderabad.
The job was posted on October 8, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Machine learningStatistical ModelingData ScienceQuantitative AnalysisPythonSQL

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where statistical modeling was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?
Tell me about a project where quantitative analysis was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Machine learning, Statistical Modeling, Data Science, Quantitative Analysis, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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