Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
New York, New York, USA
Actively hiring, first seen by us 6 hours agoThe 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, CA, Palo Alto - 157,300.00 - 212,800.00 USD annually USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annuallyRead the full posting
Employment type in the employer’s posting: full-timeFrom the employer’s posting
You will design experiments, develop statistical models, and establish measurement frameworks to understand how identity improvements translate into better advertising outcomes.
You will partner closely with applied scientists, software engineers, product managers, and business leaders to translate complex data into actionable recommendations.
As a Data Scientist II, you will develop analytical frameworks, measurement methodologies, and data driven insights to evaluate the performance of Amazon's identity graph. You will work with billions of identity signals to quantify recognition rates, graph coverage, identity accuracy, and the incremental value of deterministic and probabilistic identity resolution. Your analysis will help identify opportunities to improve advertising addressability, audience reach, campaign measurement, and revenue. You will design experiments, develop statistical models, and establish measurement frameworks to understand how identity improvements translate into better advertising outcomes. This includes evaluating the precision and recall of identity models, measuring the incremental contribution of individual identity sources, identifying gaps in identity coverage, and quantifying the commercial impact of identity investments. You will partner closely with applied scientists, software engineers, product managers, and business leaders to translate complex data into actionable recommendations. Your work will help shape technical priorities, guide investment decisions, and establish the metrics used to evaluate identity performance across Amazon Advertising.
You will design experiments, develop statistical models, and establish measurement frameworks to understand how identity improvements translate into better advertising outcomes. This includes evaluating the precision and recall of identity models, measuring the incremental contribution of individual identity sources, identifying gaps in identity coverage, and quantifying the commercial impact of identity investments. You will partner closely with applied scientists, software engineers, product managers, and business leaders to translate complex data into actionable recommendations. Your work will help shape technical priorities, guide investment decisions, and establish the metrics used to evaluate identity performance across Amazon Advertising. The ideal candidate has strong expertise in SQL, Python, statistical analysis, experimentation, and large scale data analytics. You should be comfortable working with complex datasets, developing rigorous measurement methodologies, and communicating findings to both technical and business audiences.
This role offers the opportunity to establish how Amazon measures identity quality and business impact, influence the direction of a critical advertising platform, and apply data science to problems operating at global scale. 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 - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment Preferred qualifications - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 8 and day 60.
From 11,734 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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This role offers the opportunity to establish how Amazon measures identity quality and business impact, influence the direction of a critical advertising platform, and apply data science to problems operating at global scale. 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 - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment Preferred qualifications - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company
You will partner closely with applied scientists, software engineers, product managers, and business leaders to translate complex data into actionable recommendations. Your work will help shape technical priorities, guide investment decisions, and establish the metrics used to evaluate identity performance across Amazon Advertising. The ideal candidate has strong expertise in SQL, Python, statistical analysis, experimentation, and large scale data analytics. You should be comfortable working with complex datasets, developing rigorous measurement methodologies, and communicating findings to both technical and business audiences. This role offers the opportunity to establish how Amazon measures identity quality and business impact, influence the direction of a critical advertising platform, and apply data science to problems operating at global scale. 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 - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment Preferred qualifications - 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.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
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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, CA, Palo Alto - 157,300.00 - 212,800.00 USD annually USA, NY, New York - 153,400.00 - 207,500.00 USD annually USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually
New York, New York, USA
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.