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Data Scientist II - Amazon Identity Program , Amazon Identity Program (AIP)

Pay
Multiple pay amounts — pay source
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
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting

What you’ll work on

Full 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.

From the employer’s posting
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.
Education & alternatives
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
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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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Live
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Nov 13, 2026today
Recorded sightings
1
Employer says posted
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Amazon is hiring

959 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

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  • MATLAB
  • Python
  • R
  • SAS
  • SQL
Where the posting names them
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.

Your next step

Complete your application on www.amazon.jobs. The employer’s form will show what is required.

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Amazon Advertising is seeking a Data Scientist II to help measure and improve one of the world's largest advertising identity platforms. You will work with massive datasets to uncover insights that directly influence how Amazon recognizes customers, connects identity signals, and enables advertisers to reach and measure audiences across the global advertising ecosystem.

The Amazon Advertising Identity Platform (AIP) powers identity resolution across Amazon's owned and operated properties, third party publishers, and the open internet. As traditional identity signals become less available and consumer behavior spans more devices and environments, understanding the accuracy, coverage, and business impact of identity resolution has become increasingly important.

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.

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, 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
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Pay
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
Location & working pattern

New York, New York, USA

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