Data Scientist, Amazon Ads Marketing Decision Science

Amazon Inc.; New York (NY); On-site; USD 119,000 - 178,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC invites a Data Scientist to join the Ads Marketing Decision Science team in New York. You will define and deploy data science solutions, build ML models for advertiser segmentation, and apply causal inference to measure marketing impact.

Collaborate across science and engineering to prototype at scale. You will work with a diverse team of applied scientists and data scientists, applying GenAI capabilities to enhance marketing decisions and growth for advertisers on

Qualifications

• 1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• Bachelor's degree

Responsibilities

• Define and execute data science solutions end-to-end, from problem framing through production deployment.
• Build machine learning models for advertiser segmentation, propensity modeling, and recommendations.
• Apply causal inference and experimentation methods (A/B testing, difference-in-differences, propensity score matching).
• Analyze large-scale advertiser behavioral data to identify trends and surface growth opportunities.
• Collaborate with scientists and engineers for proof-of-concept prototyping at scale.
• Establish data hygiene practices to ensure data coherence for production ML/AI solutions.
• Leverage GenAI and LLM capabilities to enhance science products where applicable.

Skills

SQL

Python

R

SAS

Matlab

Education

Bachelor's degree

Tools

SPSS

SAS

S-PLUS

R

Job description

Data Scientist, Amazon Ads Marketing Decision Science

Job ID: 10568249 | Amazon.com Services LLC

Amazon Advertising drives billions of ad impressions and millions of clicks daily, powering discovery and sales for advertisers across Amazon's Retail and Marketplace businesses. The Ads Marketing Decision Science team sits at the intersection of data science and marketing strategy. We build intelligent, data-driven systems that analyze advertiser behavior at large scale to deliver the right guidance to the right advertiser at the right time. Our work spans behavioral modeling, content intelligence, automated decision systems, and GenAI applications, enabling personalized marketing experiences that help advertisers make smarter advertising decisions and grow their business on Amazon.

Key job responsibilities

• Define and execute data science solutions end-to-end, from problem framing through production deployment.
• Build machine learning models (classification, regression, clustering, ranking) for advertiser segmentation, propensity modeling, and recommendations.
• Apply causal inference and experimentation methods (A/B testing, difference-in-differences, propensity score matching) to measure the impact of marketing interventions.
• Analyze large-scale advertiser behavioral data to identify trends, surface growth opportunities, and support optimal decision making.
• Collaborate with colleagues across science and engineering disciplines for fast turnaround proof-of-concept prototyping at scale.
• Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions.
• Leverage GenAI and LLM capabilities to enhance science products where applicable

A day in the life

You will solve real-world problems by analyzing large volumes of advertiser data, building predictive models, designing experiments, and measuring business impact. You will prototype rapidly, validate ideas with data, and partner with engineers to productize and scale successful solutions. You will collaborate daily with scientists, engineers, and product managers across the advertising organization, working in a cross-functional, fast-paced environment where data drives decisions and helps advertisers grow.

About the team

We are a team of Applied Scientists, Research Scientists, Data Scientists, and Business Intelligence Engineers with deep expertise in ML, NLP, Gen-AI, RL, and causal inference, from a diverse range of backgrounds. We partner closely with strong engineers, product managers, and sales leaders who bring ads-industry depth and experience building scalable modeling and software solutions.

Basic Qualifications

• - 1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• - Bachelor's degree

Preferred Qualifications

• - Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• - Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)

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.

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 - 119,200.00 - 178,400.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.