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

Amazon

New York, NYJob$153–208K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$153–208K/yr
Location
New York, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree, required

Job overview

Amazon Advertising is seeking a Data Scientist II to measure and improve its identity platform. The role analyzes billions of identity signals, develops statistical models and measurement frameworks, and evaluates identity graph performance and its business impact. The scientist partners with technical and business teams to turn complex data into recommendations that guide platform priorities, investment decisions, and advertising outcomes.

Skills & qualifications

RequiredNice to have

Skills

SQL, requiredPython, requiredR, requiredSAS, requiredMATLAB, requiredStatistical Modeling, requiredData Analysis, requiredTheoretical Model Application, requiredPerl, nice to haveMachine Learning, required

Qualifications

3+ Years Querying or Scripting Experience, required2+ Years Data Scientist Experience, required3+ Years Modeling and Analysis Experience, requiredBachelor's Degree, requiredLarge Technology Company Experience, nice to have

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off
Parental Leave

Full job description

Description

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

How this job compares

Set against the 4,461 open Data Scientist jobs on Olive Jobs, counted November 12, 2026.

Pay
  • This posting$153–208K/yr
  • New York median$148–211K/yr345 salary ranges
  • US median$133–212K/yr3,556 salary ranges

This range's midpoint, $180K, is close to the New York median midpoint ($180K) — in the middle half of Data Scientist salary ranges in New York.

Openings
Olive Jobs lists 442 open Data Scientist jobs in New York and 4,461 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 3 years of experience; Data Scientist postings that state a minimum ask for 5 years at the median (3,861 postings).
Education
This posting asks for a bachelor's degree; 2,211 of the 4,461 open Data Scientist jobs (50%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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