Sr Data Scientist, Amazon - Vertical Ads

Amazon

Palo Alto (CA)

On-site

USD 183,000 - 248,000

Full time

4 days ago
Be an early applicant
Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Amazon is seeking a Sr Data Scientist to drive innovation in the Ads Foundational Model. This individual contributor role will apply advanced ML techniques to improve advertiser performance and customer experience in a green-field ads initiative.

You will lead science initiatives, build ML models across CV/NLP/DL, and collaborate with cross-functional teams to deliver impactful ad creative recommendations. 5+ years data querying and 4+ years DS experience are expected.

Qualifications

  • 5+ years of data querying languages (SQL) and scripting (Python) experience.
  • 4+ years of data scientist experience.
  • Experience with statistical models e.g. multinomial logistic regression.
  • 2+ years of data visualization experience with AWS QuickSight, Tableau, or R Shiny.
  • Experience managing data pipelines and mentoring data science teammates.

Responsibilities

  • Develop and drive the science strategy for Ads Foundational Model (Ads-FM).
  • Identify high-impact opportunities within Ads-FM program and lead science initiatives.
  • Build and deploy machine learning models using computer vision, natural language processing, and deep learning to evaluate and enhance ad effectiveness.
  • Develop algorithms that extract meaningful signals from image, video, and audio content to predict and improve customer engagement.
  • Leverage Amazon's extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative.
  • Collaborate with business leaders and cross-functional teams to implement ML-powered solutions.
  • Contribute to the ML roadmap for the Ads-FM program through innovation and research.

Skills

SQL
Python
Statistical modeling
Multinomial logistic regression
Data visualization

Tools

AWS QuickSight
Tableau
R Shiny
Data pipelines

Job description

Description

Are you passionate about solving big problems from ground-up? Do you enjoy building new state-of-the-art products at internet scale? Come lead the innovation in this startup team, vertical ad products. This is a green field problem without a known answer or a pattern to follow.

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.

We are seeking an experienced Sr Data Scientist to drive innovation in our Ads Foundational Model. In this individual contributor role, you will apply advanced machine learning techniques to improve advertiser performance and customer experience.

Key job responsibilities

As a Data Scientist on this team, you will:

  1. Develop and drive the science strategy for Ads Foundational Model (Ads-FM), aligning it with the program's objectives and overall business goals.

  2. Identify high-impact opportunities within Ads-FM program and lead the ideation, planning, and execution of science initiatives to address them.

  3. Build and deploy machine learning models using computer vision, natural language processing, and deep learning to evaluate and enhance ad effectiveness.

  4. Develop algorithms that extract meaningful signals from image, video, and audio content to predict and improve customer engagement

  5. Leverage Amazon's extensive data repository to create predictive models that generate actionable recommendations for more compelling ad creative

  6. Collaborate with business leaders and cross-functional teams to implement ML-powered solutions

  7. Contribute to the ML roadmap for the Ads-FM program through innovation and research.

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

  • 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.

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 - 183,000.00 - 247,600.00 USD annually

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Sr Data Scientist, Amazon - Vertical Ads
Sr Data Scientist, Amazon - Vertical Ads

Amazon Inc. • Palo Alto (CA), Northern (KY)

On-site
USD 183,000 - 248,000
Data Scientist, Amazon Ads Marketing Decision Science
Data Scientist, Amazon Ads Marketing Decision Science

Amazon Inc. • New York (NY)

On-site
USD 119,000 - 178,000
Health insurance
401(k) matching
Paid time off
+1
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Bellevue (WA)

On-site
USD 167,000 - 260,000
Health insurance
401(k) matching
Paid time off
+1
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Sunnyvale (CA)

On-site
USD 192,000 - 260,000
Health insurance
RSUs
401(k) matching
+2
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • New York (NY)

On-site
USD 184,000 - 249,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)
Applied Scientist, Amazon Ads, Forecasting, Insights and Guidance (FIG)

Amazon Science • Palo Alto (CA)

On-site
USD 172,000 - 222,000
Health insurance
RSUs
Sign-on payments
+3
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Arlington (VA)

On-site
USD 167,000 - 226,000
Health insurance
401(k) matching
Paid time off
+1
Applied Scientist II, Sponsored Products and Brands Agent
Applied Scientist II, Sponsored Products and Brands Agent

Amazon Science • Seattle (WA)

On-site
USD 143,000 - 193,000
Senior Applied Scientist , Amazon Ads (Advertising)
Senior Applied Scientist , Amazon Ads (Advertising)

Amazon • Seattle (WA)

On-site
USD 167,000 - 226,000
Health insurance
RSU
401(k) matching
+2
Senior Applied Scientist , Amazon Ads
Senior Applied Scientist , Amazon Ads

Amazon • Seattle (WA)

On-site
USD 167,000 - 226,000
Health benefits