AmazonSenior Data Scientist III, Community Intelligence Science & Engineering
Amazon is hiring a Senior Data Scientist III, Community Intelligence Science & Engineering in Bellevue, United States. It pays $175k-$237k a year and Level rates it ; you can apply on Level.
AI in this role
This role offers a unique opportunity to shape how the world's most customer-centric company builds sustainable relationships with the communities we serve. A successful Data Scientist on our team demonstrates exceptional scientific rigor combined with pragmatic execution. You'll balance breakthrough research with production deployment, collaborate across multiple science organizations, and translate complex analytical findings into actionable insights that influence senior leadership strategy.
As a Senior Data Scientist, you will partner with product teams, scientists, and technical leaders across Last Mile, Middle Mile, WW Ops Security, WW Real Estate, and other organizations to identify opportunities where community intelligence creates multiplicative business impact.
Key job responsibilities
- Design and deploy production ML forecasting systems with extended prediction horizons using multi-modal data sources
- Build and scale AI-powered analytics platforms that process large volumes of unstructured data from diverse sources including social media, traditional media, and internal systems
- Collaborate with operational science teams to integrate analytical insights and predictive signals into existing operational models and decision-making systems
- Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding to uncover relationships between business actions and outcomes
- Develop NLP and GenAI applications including event detection, sentiment analysis, cross-platform clustering, and multilingual insight synthesis
- Partner with engineering teams to productionize models using AWS services (SageMaker, EMR, Lambda, Kinesis, Glue) with clear POC-to-production handoff criteria
- Mentor junior scientists and contribute to building a research culture that balances high-risk, high-reward innovation with reliable product delivery
- Author internal and externally-facing scientific publications and technical documents
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.
The benefits that generally apply to regular, full-time employees include:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
Amazon Community Operations (CommOps) works to anticipate our communities’ needs and build positive net impact anywhere we operate. From Operational Excellence to Community Outreach, Community Operations is defining what it means to be a positive presence in the community. This is a fast-paced, start-up environment where creative problem solving, operational excellence, and building relationships are the core of our day-to-day work.
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
- Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)
- Experience working with scientists, economists, software developers, or product managers
Preferred qualifications
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- Experience documenting modeling for technical and business leaders
- Experience using AI-assisted development tools in academic or professional settings
- Experience contributing to publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 175,100.00 - 236,900.00 USD annually
USA, TN, Nashville - 151,200.00 - 204,600.00 USD annually
USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually
How we rate this
Senior Data Scientist III, Community Intelligence Science & Engineering at Amazon rates 3 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● 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.
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
Questions you could be asked
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- Walk me through how you've used Sagemaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: NLP and Sagemaker. 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.
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