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Senior Applied Scientist, Ads Measurement Science
full-time•New York•$183k - $248k
About this role
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 a Senior 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
- Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models.
- Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
- Lead the decomposition of problems and development of roadmaps to execute on it.
- Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.
- Influence team business and engineering strategies.
- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
- Foster collaborations between scientists to move faster, with broader impact.
- Actively engage in the development of others, both within and outside the team.
- Regularly engage with the broader scientific community with presentations, publications, and patents.
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.
Team Video: https://youtu.be/zD_6Lzw8raE Basic Qualifications: - 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 8+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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.
USA, NY, New York - 183,800.00 - 248,700.00 USD annually
As a Senior 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
- Lead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models.
- Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code
- Lead the decomposition of problems and development of roadmaps to execute on it.
- Set an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions.
- Influence team business and engineering strategies.
- Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
- Foster collaborations between scientists to move faster, with broader impact.
- Actively engage in the development of others, both within and outside the team.
- Regularly engage with the broader scientific community with presentations, publications, and patents.
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.
Team Video: https://youtu.be/zD_6Lzw8raE Basic Qualifications: - 5+ years of building machine learning models for business application experience
- PhD, or Master's degree and 8+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- 5+ years of building machine learning models or developing algorithms for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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 - 183,800.00 - 248,700.00 USD annually
What you'll do
- Lead measurement solutions end-to-end from inception to production, proposing, designing, analyzing, and productionizing models. Foster collaborations between scientists and influence team business and engineering strategies.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.
Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.
Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.
You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
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Frequently Asked Questions
What does Amazon pay for a Senior Applied Scientist, Ads Measurement Science?
Amazon offers a competitive compensation package for the Senior Applied Scientist, Ads Measurement Science role. The salary range is USD 184k - 249k per year. Apply through Clera to learn more about the full compensation details.
What does a Senior Applied Scientist, Ads Measurement Science do at Amazon?
As a Senior Applied Scientist, Ads Measurement Science at Amazon, you will: lead measurement solutions end-to-end from inception to production, proposing, designing, analyzing, and productionizing models. Foster collaborations between scientists and influence team business and engineering strategies..
Is the Senior Applied Scientist, Ads Measurement Science position at Amazon remote?
The Senior Applied Scientist, Ads Measurement Science position at Amazon is based in New York, United States. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior Applied Scientist, Ads Measurement Science position at Amazon?
You can apply for the Senior Applied Scientist, Ads Measurement Science position at Amazondirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.