Principal Applied Scientist, Demand Tech (Level 7), Demand Tech: Forecasting and Guidance

Amazon; New York (NY); On-site; USD 179,000 - 310,000; Full time

Job summary

Amazon seeks a Principal Applied Scientist in Demand Tech to lead innovative forecasting solutions. This high-impact role blends science, technology, and business strategy, challenging candidates to shape groundbreaking recommendations at scale. Ideal for seasoned professionals, it demands expertise in machine learning and a robust understanding of business dynamics.

Benefits

Comprehensive medical benefits

Equity in the company

Flexible working hours

Qualifications

• 10+ years of applied ML experience.
• 2+ years of leading ML teams.

Responsibilities

• Drive innovation through emerging technologies.
• Collaborate with stakeholders to develop solutions.
• Quantify value of forecasting and recommendations.

Skills

Machine Learning

Statistical Analysis

Experiment Design

Education

Ph.D. in Machine Learning or Computer Science

Job description

Principal Applied Scientist, Demand Tech (Level 7), Demand Tech: Forecasting and Guidance

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Principal Applied Scientist, Demand Tech (Level 7), Demand Tech: Forecasting and Guidance

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Description

The Demand Tech team is seeking a science leader to drive the development of industry-leading campaign forecasting and recommendations solutions. This role sits at the intersection of science, technology, and business strategy, offering a unique opportunity to shape the future of forecasting and recommendations at scale. You will lead efforts to establish robust measurement frameworks, design and run experiments, build machine learning models, and partner closely with cross-functional teams to deliver solutions that are both technically sound and deeply impactful.

Description

The Demand Tech team is seeking a science leader to drive the development of industry-leading campaign forecasting and recommendations solutions. This role sits at the intersection of science, technology, and business strategy, offering a unique opportunity to shape the future of forecasting and recommendations at scale. You will lead efforts to establish robust measurement frameworks, design and run experiments, build machine learning models, and partner closely with cross-functional teams to deliver solutions that are both technically sound and deeply impactful.

Success in this role requires balancing scientific rigor with real-world constraints—ensuring forecasts are not only accurate and robust, but also sensitive and explainable to customers. Recommendations need to reflect human behavior patterns. You'll tackle challenges such as high-dimensional feature spaces in campaign setup, data scarcity across diverse inventory and audience segments, and the capability for adapting to evolving business and technology environments. The ideal candidate will bring a strong technical foundation, a strategic mindset, and the ability to inspire and grow a high-performing team, all while delivering insights and innovations that shape business decisions.

Key job responsibilities

• Drive innovation by identifying, evaluating, and applying emerging technologies and scientific methods that improve the accuracy, explainability, and scalability of our models.
• Collaborate deeply with stakeholders across Product, Engineering, Finance, Sales, and beyond to develop tailored solutions that meet real business around streaming TV and budget and media planning and optimize the impact of the team.
• Quantify the value of forecasting and recommendations through rigorous measurement of model accuracy and the resulting business impact.
• Own the science and engineering strategy and roadmap, balancing long-term investments with near-term business impact.
• Foster a culture of innovation, collaboration, and continuous improvement, both within your team and in the broader organization.
• Ensure that your team is producing consistently trustworthy and high-quality technical outputs that influence the business.
  
  

About The Team

Our team provides customer facing forecasting and recommendations for self-service advertising customers throughout their campaign lifecycle journey. Our products educate customers on budget allocation opportunities, effective campaign setup, and optimizations. Accurate forecasting is critical to many growth initiatives across the business.

Basic Qualifications

• 10+ years of applied ML experience in delivering ML-based solutions to solve real-world problems and achieve business goals, at a very large scale.
• 2+ years of hands-on experience leading multiple ML teams to design products that satisfy a customer need.
  
  

Preferred Qualifications

• Ph.D. in Machine Learning, Computer Science, or related disciplines.
• Experience shipping large-scale deep learning models for online recommendation, personalization, or search.
• Experience partnering with engineering teams to ensure deep learning solutions meet latency requirements.
• Experience influencing product strategy through cutting edge research in deep learning.
• Effective verbal and written skills in communicating with both non-technical and technical audiences.
• Excellent business judgment; the ability to balance business, product, and technology priorities.
• Expert in machine learning, statistics, and experiment design.
  
  

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A3003943

Seniority level

• Seniority level

  Director

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Science, and Engineering

• Industries

  Software Development

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