Senior Data Scientist, Plan Optimization - APS - Amazon : Job Details

Senior Data Scientist, Plan Optimization - APS

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Senior Data Scientist, Plan Optimization - APS

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DescriptionAmazon's Supply Chain is the engine behind the world's most customer-obsessed company. As we continue to scale at an unprecedented pace, our fulfillment and logistics network becomes increasingly complex—demanding innovative, data-driven solutions to keep pace with growth and customer expectations.

DescriptionAmazon's Supply Chain is the engine behind the world's most customer-obsessed company. As we continue to scale at an unprecedented pace, our fulfillment and logistics network becomes increasingly complex—demanding innovative, data-driven solutions to keep pace with growth and customer expectations.The Supply Chain Planning Optimization (SCPO) team is seeking a passionate and versatile Data Scientist to help shape the future of supply chain intelligence. In this role, you'll uncover impactful insights, develop interpretable and scalable models, and collaborate closely with both business and technical stakeholders to drive high-stakes decisions across our EU and North American fulfillment networks. Together, we're building a next-generation automated planning system—a powerful engine designed to transform inbound operations through intelligent, data-driven automation.Join us and play a key role in redefining how Amazon plans, predicts, and powers the global movement of goods.Key job responsibilitiesPartner directly with business leaders, operations teams, and product managers to identify opportunities, understand pain points, and translate them into data science problemsDesign and implement interpretable probabilistic models to forecast customer demand, supply availability, and network flows under uncertaintyDeliver insights and recommendations through dashboards, visualizations, and presentations that influence key business decisionsDevelop and maintain explainable ML/Statistical models, ensuring stakeholders can understand, trust, and take action based on model outputsCreate prototypes, run pilots, gather feedback, and iterate models to align with real-world operations and stakeholder goalsLead and contribute to ad-hoc deep dives to investigate anomalies or emerging patterns in the supply chainCollaborate with engineering and science teams to productionize models and scale insights across regions and business linesStay current on best practices in machine learning, statistics, and data science, and advocate for the right tools and methodologiesAbout The TeamSCPO is responsible for optimizing Amazon's supply chain from suppliers to customers. We build analytical tools and machine learning models to improve supply chain performance across forecasting, inventory planning, and network execution. Our team is at the intersection of science, technology, and operations, collaborating with Supply Chain Optimization Technologies (SCOT), Transportation, Retail, Finance, and senior business leaders to improve both day-to-day decisions and long-term strategy.Basic Qualifications

• 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 4+ years of data scientist experience
• Experience with statistical models e.g. multinomial logistic regression
• Master's degree in computer science, engineering, mathematics or equivalent
• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)

Preferred Qualifications

• 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team

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 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 $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. 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.Company - Amazon.com Services LLCJob ID: A2999946

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesSoftware Development

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