Data Scientist II, ADSP Product Operations & Analytics (Advertising)
Amazon, New York, New York, us, 10261
Data Scientist II, ADSP Product Operations & Analytics
Job ID: 3180118 | Amazon.com Services LLC
In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks.
A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.
Key Job Responsibilities
Define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.
Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.
Identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.
Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.
Set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.
Drive and lead a culture of data-driven innovations within the Amazon AdTech org.
Basic Qualifications
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
2+ years of data scientist experience
Bachelor's degree
Experience applying theoretical models in an applied environment
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Preferred Qualifications
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Equal Opportunity Employment 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.
Compensation & Benefits 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 – $153,400.00 – $207,500.00 annually USA, WA, Seattle – $136,000.00 – $184,000.00 annually
Posting Date Posted: January 28, 2026 (Updated 26 days ago)
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In this role, you will build scalable solutions and sophisticated models that identify and drive growth opportunities for Amazon Ads teams, specifically within Amazon's Demand Side Platform (ADSP). You will leverage machine learning, simulation, and advanced statistical techniques to explain complex patterns, quantify business impact, predict future trends, and prescribe actionable strategies that inform critical business decisions at the highest levels of the organization. You will work with various stakeholders to align on priorities, with the understanding that scope and direction may evolve based on organizational needs. You will translate business goals into agile, insightful analytics that create tangible value for both stakeholders and customers, and communicate your findings clearly and actionably to managers and senior leaders so they can quickly understand insights and take decisive action.
You will set the strategy for ads delivery and quality and establish the measurement and decision frameworks.
A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, ensuring we optimize the levers that move outcomes rather than simply reporting on lagging KPIs.
Key Job Responsibilities
Define and execute in-depth data analysis that drives data-informed decision making for product, sales, and finance teams who speak on behalf of advertisers.
Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.
Identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance, creating robust measurement frameworks.
Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
Partner with product managers and stakeholders to define forward-looking product visions and prospective business use cases.
Set the strategy for ads delivery and quality, establishing decision frameworks that enable teams to move from reactive reporting to proactive optimization.
Drive and lead a culture of data-driven innovations within the Amazon AdTech org.
Basic Qualifications
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
2+ years of data scientist experience
Bachelor's degree
Experience applying theoretical models in an applied environment
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Preferred Qualifications
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Equal Opportunity Employment 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.
Compensation & Benefits 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 – $153,400.00 – $207,500.00 annually USA, WA, Seattle – $136,000.00 – $184,000.00 annually
Posting Date Posted: January 28, 2026 (Updated 26 days ago)
#J-18808-Ljbffr