Senior Data Scientist | Measurement Science, Ads Science & Tech (ASAT)

Amazon; Omaha, Northern (NE, KY); Hybrid; USD 175,000 - 248,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon is seeking a Senior Data Scientist for Measurement Science, Ads Science & Tech (ASAT) to advance analytics across measurement, attribution, and shopper analytics. You will translate deep-dives into actionable insights for product teams and help improve bidding, targeting, relevance, and feature adoption.

You will collaborate with engineering on data logging, develop KPIs, and present results to senior leadership. The role emphasizes analytics across ad serving and revenue optimization.

Qualifications

• 5+ years of experience with data querying languages (SQL) and scripting (Python).
• 4+ years of data scientist experience in ads/measurement context.
• Experience with statistical models such as multinomial logistic regression.
• 2+ years of data visualization with AWS QuickSight/Tableau/R Shiny.

Responsibilities

• Analyze data trends in supply, optimization, ad load, and advertising mix.
• Present findings to senior leaders on feature impact and ad systems.
• Define and standardize KPIs for ad serving performance.
• Collaborate with engineering to define data logging requirements.
• Validate financial models through analysis.
• Develop ad revenue and supply intelligence dashboards.

Skills

Data science experience

Leadership / mentorship

Data pipelines

Data visualization

Statistical models

Education

Bachelor's degree

Tools

AWS QuickSight

Tableau

R Shiny

Job description

Senior Data Scientist | Measurement Science, Ads Science & Tech (ASAT)

Job ID: 10545805 | Amazon.com Services LLC

We are seeking a Measurement and Attribution Analytics scientist to further the development and application of analytics methods to examine the complex data flows of measurement, attribution and shopper analytics and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our supply strategy, and evaluate the adoption and impact of feature releases.

Key job responsibilities

• Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals.
• Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps.
• Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities.
• Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps.
• Validate financial models through analysis.
• Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives.

A day in the life

The Measurement and Attribution Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. There will be an emphasis on understanding the impact of shopper journeys to and from Amazon properties and their implication on product development. The candidate will then analyze the data and present papers and ongoing reports on actionable insights.

About the team

The Ads Science Product Team's Mission: Work alongside those who need product data to apply objective perspective and business logic to uncover insights, advise strategic decisions, and adjust to industry changes.

Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression

Preferred Qualifications

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

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.

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