Professional Services III - AMZ27006.1
AI in this role
Professional Services III role leveraging cloud infrastructure, machine learning platforms, and statistical modeling to build analytical data pipelines.
Position: Professional Services III - AMZ27006.1
Location: New York, NY
Multiple Positions Available:
• Leverage cloud infrastructure and database systems (using Amazon Web Services, RedShift) to design, build, and automate robust ETL data pipelines to extract, clean, and load large-scale datasets, transforming raw data into analytical reports and business recommendations.
• Build modularized, scalable analytical technical solutions and frameworks with machine learning platforms - Amazon SageMaker and utilize version-control repositories to manage code for global scalability.
• Engineer advanced analytical frameworks using Python and statistical modeling methods, including regression analysis, forecasting, probability distributions, A/B testing to analyze business performance and enhance media efficiency.
• Architect and develop data query pipelines within clean-room environments using Amazon Marketing Cloud to retrieve, model, and analyze ad-attributed data, and author technical documentation to drive platform adoption.
• Provide strategic analytical consultations to advertisers by interpreting statistical models, attribution analysis, and measurement frameworks to inform media strategy and optimize investments.
• Serve as a technical Subject Matter Expert (SME) for analytics and insights teams, providing technical guidance on measurement methodologies, attribution frameworks, Amazon Ad products and data engineering infrastructure.
• Domestic travel up to 25% to perform role responsibilities may be required.
(40 hours / week, 8:00am-5:00pm, Salary Range $169000 - $228600)
Amazon.com is an Equal Opportunity – Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
#0000
Basic qualifications
Master's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and one year of experience in the job offered or a
related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Information Systems, Mathematics, or a related field and five
years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of
experience in the following skill(s): (1) knowledge of SQL; (2) experience translating technical aspects of analysis and metrics into actionable insights; (3) applying understanding of basic
statistical techniques and methodologies; and (4) applying understanding of distributions, expectations, hypothesis testing, and A/B Testing.
The base pay range for this position in New York City is USD $169000 - $228600 (yr). Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, or other benefits, dependent on the position offered. Applicants should apply via Amazon's internal or external careers site.
#0000
Preferred qualifications
All applicants must meet all the above listed requirements.
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.
How we rate this
Professional Services III - AMZ27006.1 at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
- Tell me about a project where etl 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 statistical modeling was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ETL, Machine Learning, Statistical Modeling, SQL, and A B Testing. 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.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI jobs (Works on AI ●●●○ or higher) by email
One email a week with the new AI jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step