AmazonData Scientist, NACP Analytics, NACP Analytics
Amazon is hiring a Data Scientist, NACP Analytics, NACP Analytics in Bellevue, United States. It pays $136k-$184k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Builds AI ●●●● is how Level rates this data scientist role: the job is building AI systems.
- Tools and skills the posting cites include Python, SQL and R.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Drive advanced data science, forecasting models, and generative AI initiatives to streamline Amazon's capacity planning.
This role is for a motivated individual with a strong statistical and technical background to join us as a Data Scientist. You will be responsible for leading best-in-class data science initiatives, including forecasting and utilizing generative AI tools to address supply chain planning bottlenecks and improve Placement and Cost to Serve metrics for Amazon warehouses. You will bring your data science and statistics background to support key capacity planning initiatives. You will continue to raise the bar for creating scalable, efficient, and accurate models utilizing large-scale data sets.
Key job responsibilities
- Develop new forecasting models or improve existing approaches using scalable techniques.
- Extract data for analysis and model development from large, complex datasets to explain demand trends.
- Closely work with engineering teams to build scalable, efficient systems that implement prototypes in production.
- Distill problem definitions from informal business requirements and communicate technical solutions to senior business leaders.
- Drive innovation and best practices in applied research across the Amazon research science community.
Basic qualifications
- Bachelor's degree
- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
Preferred qualifications
- Master's degree
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
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, WA, Bellevue - 136,000.00 - 184,000.00 USD annually
How we rate this
Data Scientist, NACP Analytics, NACP Analytics at Amazon rates 85 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.
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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $136k
- Typical data scientist job
- $168k
This posting starts 19% below the typical data scientist job. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Forecasting, Machine learning, Statistics, and Generative AI. 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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