Applied Scientist, Ads Measurement Science

Amazon; Madrid; Presencial; USD 129.000 - 213.000; Jornada completa

Descripción de la vacante

Join a forward-thinking company as an Applied Scientist in Ads Measurement Science, where you'll innovate solutions that measure the impact of advertising spend. This exciting role involves leveraging advanced scientific technologies, including Generative AI and machine learning, to provide actionable insights for advertisers. You'll work autonomously, collaborate with a diverse team of experts, and contribute to the scientific community. If you're passionate about data-driven decision-making and eager to make a significant impact, this opportunity is perfect for you.

Formación

• Master's degree in a quantitative field required.
• Deep expertise in Generative AI and ML is essential.

Responsabilidades

• Lead measurement solutions from inception to production.
• Invent solutions for ambiguous ads measurement problems.

Conocimientos

Machine Learning

Natural Language Processing

Generative AI

Causal Inference

Computer Vision

Programming in Java

Programming in C++

Programming in Python

SQL

Educación

Master's degree in computer science

PhD in computer science

Herramientas

Oracle

Descripción del empleo

Applied Scientist, Ads Measurement Science

Job ID : 2899169 | Amazon.com Services LLC

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision.

As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.

For this role, we are seeking a talented scientist with deep expertise in Gen AI to innovate our product portfolio and ease accessibility to actionable insights for our customers.

Key job responsibilities

1. Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
2. Disambiguate problems to propose clear evaluation frameworks and success criteria
3. Work autonomously and write high quality technical documents
4. Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production
5. Work closely with other scientists to deliver impactful customer solutions
6. Share and publish works with the broader scientific community through meetings and conferences
7. Communicate clearly to scientific audiences

About the team

We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

BASIC QUALIFICATIONS

1. Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
2. Experience programming in Java, C++, Python or related language
3. Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

PREFERRED QUALIFICATIONS

1. Experience implementing algorithms using both toolkits and self-developed code
2. Have publications at top-tier peer-reviewed conferences or journals
3. PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
4. Experience building machine learning models or developing algorithms for business application

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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 this link for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400 / year in our lowest geographic market up to $212,800 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits.