Applied Science Manager, Ads Measurement Science
Amazon, San Francisco, CA, United States
Applied Science Manager, Ads Measurement Science
Job ID: 10399754 | Amazon.com Services LLC
The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization 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 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.
Key Job Responsibilities
You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.
You have a broad understanding of scientific techniques, several of which may fall out of your specific job function.
You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.
You define clear goals for your team and effectively prioritize, balancing short‑term needs and long‑term value.
You establish clear and effective metrics and scientific processes to enforce consistent, high‑quality artifact delivery.
You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team and communicate issues and options with leaders in such a way that facilitates understanding and leads to a decision.
You work successfully with customers, leaders, and engineering teams. You foster constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
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
4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval, and Analytics
Experience programming in Java, C++, Python or related language
Preferred Qualifications
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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.
The base salary range for this position is listed below. 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: $211,400.00 – $286,000.00 USD annually
USA, NY, New York: $202,200.00 – $273,600.00 USD annually
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Job ID: 10399754 | Amazon.com Services LLC
The Measurement Intelligence Science Team (MIST) in the Measurement, Ad Tech, and Data Science (MADS) organization 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 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.
Key Job Responsibilities
You independently manage a team of scientists. You identify the needs of your team and effectively grow, hire, and promote scientists to maintain a high-performing team.
You have a broad understanding of scientific techniques, several of which may fall out of your specific job function.
You define the strategic vision for your team. You establish a roadmap and successfully deliver scientific solutions that execute that vision.
You define clear goals for your team and effectively prioritize, balancing short‑term needs and long‑term value.
You establish clear and effective metrics and scientific processes to enforce consistent, high‑quality artifact delivery.
You proactively identify risks and bring them to the attention of your manager, customers, and stakeholders with plans for mitigation before they become roadblocks. You know when to escalate.
You communicate ideas effectively, both verbally and in writing, to all types of audiences. You author strategic documentation for your team and communicate issues and options with leaders in such a way that facilitates understanding and leads to a decision.
You work successfully with customers, leaders, and engineering teams. You foster constructive dialogue, harmonize discordant views, and lead the resolution of contentious issues.
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
4+ years of applied research experience
3+ years of scientists or machine learning engineers management experience
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 6+ years of applied research experience
Knowledge of ML, NLP, Information Retrieval, and Analytics
Experience programming in Java, C++, Python or related language
Preferred Qualifications
Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
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.
The base salary range for this position is listed below. 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: $211,400.00 – $286,000.00 USD annually
USA, NY, New York: $202,200.00 – $273,600.00 USD annually
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