Amazon
Sr. Data Scientist, Devices Forecasting Science
Amazon, Seattle, Washington, us, 98127
DESCRIPTION
Are you passionate about solving complex business problems using data science and machine learning? Does the prospect of solving high-impact problems excite you?
The Amazon Devices Forecasting Science team is seeking a truly innovative and technically strong Data Scientist with a background in machine learning and statistical modeling/analysis. We are a team dedicated to demand forecasting and supply chain optimization for the entire Amazon Device family of products and accessories. We develop scalable and robust state-of-the-art forecasting solutions for the entire portfolio of Amazon Devices, driving down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
This role is central to the continued growth of Amazon Devices, which has evolved from the first Kindle E-Reader to a vast portfolio of Alexa devices, Fire TVs & Sticks, Fire Tablets, Kindles, Ring, and many other devices. In this role, you will have the opportunity to develop advanced scientific solutions and drive critical customer and business impact. You will play a key role in driving end-to-end solutions from conception to deployment. You will drive model exploration and deployment cycles including understanding our business requirements, exploring a large amount of historical data, building prototypes, and exploring conceptually new solutions, all the way to working with partner teams for production environment deployment. You will collaborate closely with engineering peers as well as business stakeholders, placing you at the heart of a growing and exciting focus area for Amazon Devices.
Our ideal candidate thrives in a fast-paced environment, relishes working with big data, and enjoys the challenge of highly complex business contexts that are constantly innovating on behalf of the customer. They are passionate about data science and ML, demonstrating this through their work and problem-solving skills.
Key job responsibilitiesResearch and develop new methodologies for demand forecasting, benchmark against state-of-the-art approachesImprove upon existing methodologies and implement model enhancementsDrive scalable solutionsCreate and track accuracy and performance metrics (both technical and business metrics)Develop, enhance, and maintain technical documentation, and present to other scientists, engineers, and business leadersDrive best practices on the team; mentor and guide junior team members in achieving their career growth potentialDrive and influence team roadmap and wider organization vision
BASIC QUALIFICATIONS5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)5+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communicationExperience with statistical models, e.g., multinomial logistic regression
PREFERRED QUALIFICATIONSExperience as a leader and mentor on a data science teamExperience in forecasting analysesExperience working with scientists, economists, software developers, or product managers
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Amazon's disability page .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. Depending 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
Amazon's employee benefits page . This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr
Are you passionate about solving complex business problems using data science and machine learning? Does the prospect of solving high-impact problems excite you?
The Amazon Devices Forecasting Science team is seeking a truly innovative and technically strong Data Scientist with a background in machine learning and statistical modeling/analysis. We are a team dedicated to demand forecasting and supply chain optimization for the entire Amazon Device family of products and accessories. We develop scalable and robust state-of-the-art forecasting solutions for the entire portfolio of Amazon Devices, driving down supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers.
This role is central to the continued growth of Amazon Devices, which has evolved from the first Kindle E-Reader to a vast portfolio of Alexa devices, Fire TVs & Sticks, Fire Tablets, Kindles, Ring, and many other devices. In this role, you will have the opportunity to develop advanced scientific solutions and drive critical customer and business impact. You will play a key role in driving end-to-end solutions from conception to deployment. You will drive model exploration and deployment cycles including understanding our business requirements, exploring a large amount of historical data, building prototypes, and exploring conceptually new solutions, all the way to working with partner teams for production environment deployment. You will collaborate closely with engineering peers as well as business stakeholders, placing you at the heart of a growing and exciting focus area for Amazon Devices.
Our ideal candidate thrives in a fast-paced environment, relishes working with big data, and enjoys the challenge of highly complex business contexts that are constantly innovating on behalf of the customer. They are passionate about data science and ML, demonstrating this through their work and problem-solving skills.
Key job responsibilitiesResearch and develop new methodologies for demand forecasting, benchmark against state-of-the-art approachesImprove upon existing methodologies and implement model enhancementsDrive scalable solutionsCreate and track accuracy and performance metrics (both technical and business metrics)Develop, enhance, and maintain technical documentation, and present to other scientists, engineers, and business leadersDrive best practices on the team; mentor and guide junior team members in achieving their career growth potentialDrive and influence team roadmap and wider organization vision
BASIC QUALIFICATIONS5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)5+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communicationExperience with statistical models, e.g., multinomial logistic regression
PREFERRED QUALIFICATIONSExperience as a leader and mentor on a data science teamExperience in forecasting analysesExperience working with scientists, economists, software developers, or product managers
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
Amazon's disability page .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/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. Depending 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
Amazon's employee benefits page . This position will remain posted until filled. Applicants should apply via our internal or external career site.#J-18808-Ljbffr