Description Are you excited about using econometrics to make multi-million dollar decisions more science and data driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch? Do you want to work on an economics and data science team focused on tackling some of the hardest business questions within the Devices business at Amazon and then scaling those Statistics and Econometrics solutions via internal to Amazon tools? Then this could be the role for you! The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug…all prior to launch. We are a cross-functional product team working to scale econometrics through Amazon and beyond by incorporating science into our internal tools. In this role, you will support senior leadership decision meetings, approving confidential funding requests (PRFAQs) for brand new devices and services. You will influence build decisions prior to receiving any customer signal. You will leverage science and tools such as conjoint demand models and machine learning models to produce these recommendations. As part of the stakeholder-facing arm of the team, you will own relationships with decision makers to help improve the end-customer experience by making the decisions science-driven. In parallel, you will work with Scientists, Economists, and Product Managers to provide meaningful business solutions and increase the velocity, quality, and scope behind our recommendations. Key job responsibilities - Develop and implement advanced statistical and machine learning models for demand estimation and pricing optimization in the Amazon Devices ecosystem. - Collaborate with science leadership to refine and execute long-term scientific roadmaps for the Device Economics team. - Design and conduct conjoint analyses to inform decisions across multiple product categories. - Apply forecasting techniques to predict market trends and product performance across various regions and sales channels (online and offline). - Develop data augmentation methodologies to enhance the quality and quantity of available data for analysis. - Analyze complex marketplace dynamics, including new product launches, marketplace expansions, and software improvements, to provide actionable insights. - Collaborate with cross-functional teams to integrate economic expertise and macroeconomic trends into scientific applications for internal use. - Produce clear and concise reports and presentations to communicate findings and recommendations to stakeholders at various levels of the organization. - Collaborate with other data scientists and analysts to ensure consistency and quality of analytical approaches across the team. - Stay up-to-date with the latest advancements in data science, applied statistics, and machine learning, particularly in the context of consumer electronics. About the team The Device Economics team is at the forefront of demand estimation and pricing strategy for concept devices. We support a diverse range of devices and services, from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions and beyond. As a cross-functional Product team, we are pioneering the scaling of econometrics throughout Amazon by integrating advanced scientific methodologies into internal tools and creating frameworks for broader adoption. Basic Qualifications - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 2+ years of data scientist experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Bachelor's degree - Experience applying theoretical models in an applied environment Preferred Qualifications - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company 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 $125,500/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. 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.