Amazon Development Center U.S., Inc.
Seattle, Washington
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, WA, Seattle - 143 400.00 USD annually
09/13/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, WA, Seattle - 143 400.00 USD annually
Amazon Development Center U.S., Inc.
Santa Monica, California
Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, CA, Santa Monica - 143 400.00 USD annually
09/13/2026
Full time
Amazon GuardDuty is a threat detection service that continuously monitors, analyzes, and processes AWS data sources and logs to identify unexpected, potentially unauthorized, and malicious activity within customer AWS environments. GuardDuty combines machine learning, anomaly detection, and malicious file discovery, using both AWS and third-party sources to help protect workloads and data across AWS accounts. Amazon GuardDuty is seeking talented Software Development Engineers to join a team in our Los Angeles office!. In this role, you will design, build, and operate highly available, scalable distributed systems that power GuardDuty's Malware protection and Runtime Monitoring products. You will work on challenging problems at the intersection of cloud security, distributed systems, and customer experience - building platforms that serve both internal teams and millions of external AWS customers. You will be a hands-on engineer contributing to the full software development lifecycle - from requirements gathering and system design through implementation, testing, deployment, and operations. You will collaborate closely with security engineers, applied scientists, and product managers to deliver features that protect millions of AWS customers. This is a high-impact role where your work directly contributes to the security posture of AWS customers worldwide. Key job responsibilities - Design, develop, and maintain highly available, scalable distributed systems for GuardDuty's Malware Protection and Runtime Monitoring services - Build and operate metadata services that enrich data for internal GuardDuty teams - Own and evolve the runtime agent provisioning and agent coverage platform across AWS compute services - Own features end-to-end across the full software development lifecycle - from design through deployment and operations - Effectively leverage AI-assisted development tooling to accelerate design, coding, testing, code review, and operational workflows while maintaining a high quality bar - Write high-quality, testable code and participate in design and code reviews, using AI tooling to improve velocity and consistency without compromising correctness or security - Troubleshoot and resolve complex production issues, driving root cause analysis and operational excellence - including using AI tooling to accelerate log analysis, hypothesis generation, and runbook execution - Collaborate with security engineers, applied scientists, and product managers to define technical solutions - Mentor junior engineers on engineering best practices, including responsible and effective use of AI tooling, and contribute to team-wide standards - Contribute to operational excellence through on-call rotations, runbook development, and system monitoring A day in the life As an SDE II on this team, you spend your time designing, building, and operating distributed systems that protect AWS customers from runtime threats at massive scale. On any given day, you might be drafting a design document for a new feature, diving deep into code, reviewing a teammate's pull request, or debugging a production issue - using AI tooling along the way to move faster without cutting corners on quality. You collaborate with security engineers, applied scientists, and product managers to understand their needs and build the right solutions. You participate in operational reviews, contribute to sprint planning, and mentor teammates as part of how the team operates. The work is varied, fast-paced, and high-impact - every line of code you ship helps protect AWS customers. About the team Our team owns two of GuardDuty's core threat detection products: Malware Protection, which scans EC2 workloads, S3 objects for malicious files and supporting AWS Backup and Runtime Monitoring, which uses an eBPF agent to detect threats in real time across EC2, ECS, Fargate, and EKS. We work at the intersection of security research, distributed systems, and operating system internals - protecting AWS customers from the threats that target their compute and data. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, CA, Santa Monica - 143 400.00 USD annually
Amazon Robotics (AR) is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfilment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, high-degree-of-freedom movement, and state-of-the-art AI. We collaborate with teams across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a cross-functional organization of Software Development Engineers, Technical Program Managers, Program Managers, and Business Intelligence Engineers responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior Technical Program Manager on GO-AI's Technology & Development team, you will partner with product, science, software engineering, data engineering, operations, and other Amazon Robotics teams to accelerate the evaluation, deployment, and scaling of AI solutions across Amazon Robotics. You will own complex, cross-functional programs spanning solution definition, experimentation, operational readiness, deployment, and continuous improvement. Success in this role requires balancing technical depth with strong program ownership. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them. • Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle. • Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations. • Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps. • Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs. • Drive senior leadership reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations. • Drive process simplification by eliminating inefficiencies and building scalable mechanisms. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. BASIC QUALIFICATIONS- 6+ years of technical product or program management experience - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Bachelor's degree in engineering, computer science or equivalent - Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions. - Demonstrated ability to drive clarity and define program structure in ambiguous domains. - Excellent verbal and written communication skills. PREFERRED QUALIFICATIONS- Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment. - Experience influencing product or platform roadmaps across multiple engineering teams. - Track record of coaching and mentoring other Technical Program Managers. - Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows. - Experience working with applied science teams and foundation model technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, MA, Boston - 148 200.00 USD annually USA, MA, North Reading - 148 200.00 USD annually USA, MA, Westboro - 148 200.00 USD annually
09/13/2026
Full time
Amazon Robotics (AR) is at the forefront of applying state-of-the-art artificial intelligence to solve real-world challenges at unprecedented scale. Our fulfilment centers handle more individual items than any company in the world, combining computer vision, mobile robots, advanced end-of-arm tooling, high-degree-of-freedom movement, and state-of-the-art AI. We collaborate with teams across Amazon worldwide to conceive, develop, prototype, and deploy intelligent robotic systems that push the boundaries of industrial automation. Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) organization enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. GO-AI's Technology & Development team is a cross-functional organization of Software Development Engineers, Technical Program Managers, Program Managers, and Business Intelligence Engineers responsible for GO-AI's technical strategy, platform capabilities, and delivery. As a Senior Technical Program Manager on GO-AI's Technology & Development team, you will partner with product, science, software engineering, data engineering, operations, and other Amazon Robotics teams to accelerate the evaluation, deployment, and scaling of AI solutions across Amazon Robotics. You will own complex, cross-functional programs spanning solution definition, experimentation, operational readiness, deployment, and continuous improvement. Success in this role requires balancing technical depth with strong program ownership. This is a rare opportunity to work with a team building AI systems that operate at Amazon scale while solving novel technical challenges in computer vision, natural language processing, and human-AI collaboration. You'll collaborate with world-class scientists, engineers, and operations teams to deploy state-of-the-art research into production systems that deliver real-world impact at global scale. Key job responsibilities • Partner with other Amazon teams to understand AI automation-based use cases, evaluate partnership opportunities, and define GO-AI's technical and operational plans to support them. • Build trusted partnerships with business and technical teams, serving as the primary GO-AI partner throughout the program lifecycle. • Design and lead human-in-the-loop solutions and AI workflows that bridge science, engineering, and operations. • Partner with GO-AI Software, Science, Data, and Business Intelligence Engineering teams to identify capability gaps, prioritize features, and influence long-term platform roadmaps. • Define success metrics, monitor program health, and use data to drive decisions, identify risks, and evaluate trade-offs. • Drive senior leadership reviews through clear written and verbal communication of program strategy, risks, trade-offs, and recommendations. • Drive process simplification by eliminating inefficiencies and building scalable mechanisms. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! About the team Within Amazon Robotics, the Global Operations - Artificial Intelligence (GO-AI) team enables Amazon to accelerate and scale the next generation of AI-powered robotic solutions. We're transforming how complex visual reasoning tasks are performed across Amazon's robotics operations, moving from traditional manual data annotation processes to state-of-the-art foundation model solutions. BASIC QUALIFICATIONS- 6+ years of technical product or program management experience - 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience - Bachelor's degree in engineering, computer science or equivalent - Experience defining technical requirements and partnering with engineering teams to deliver scalable technical solutions. - Demonstrated ability to drive clarity and define program structure in ambiguous domains. - Excellent verbal and written communication skills. PREFERRED QUALIFICATIONS- Experience with computer vision, human-in-the-loop systems, or model evaluation and deployment. - Experience influencing product or platform roadmaps across multiple engineering teams. - Track record of coaching and mentoring other Technical Program Managers. - Familiarity with robotics, fulfilment operations or large-scale annotation/labelling workflows. - Experience working with applied science teams and foundation model technologies. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, MA, Boston - 148 200.00 USD annually USA, MA, North Reading - 148 200.00 USD annually USA, MA, Westboro - 148 200.00 USD annually
Amazon Development Center U.S., Inc.
Seattle, Washington
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, WA, Seattle - 143 400.00 USD annually
09/13/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, WA, Seattle - 143 400.00 USD annually
Amazon Development Center U.S., Inc.
Boston, Massachusetts
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, MA, Boston - 168 400.00 USD annually
09/13/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities into the AI Threat Detection domain by developing detections for emerging threats targeting AI models and generative AI applications. - Collaborate with applied scientists and security researchers to transform research outcomes-such as anomaly detection methods and large language model (LLM)-based approaches-into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our principal engineers and senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of data structures, algorithm design, statistics, and system design - Experience with AWS, Azure, or Google Cloud technology - Experience with large scale distributed systems such as Hadoop, Spark etc. - Experience designing, building, operating, and managing large-scale distributed systems or web services - Experience with security and systems that handle sensitive data - Experience in ML and MLOps in production - Experience in AI threat detection Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. 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 . USA, MA, Boston - 168 400.00 USD annually
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)
09/13/2026
Full time
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
09/13/2026
Full time
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you'll lead advanced analytics, experimentation, and machine learning projects that optimize store operations, pricing, and customer experience. You'll partner with cross-functional teams to turn complex data into clear insights, build predictive models, and guide data strategy. You will mentor other data scientists, champion data quality and governance, and help scale analytics capabilities that support sustainable growth, ethical sourcing, and our values-driven mission. Responsibilities Lead end-to-end analytics and machine learning projects from problem framing to deployment and measurement Develop predictive and prescriptive models to optimize customer experience, operations, and pricing Design and analyze experiments and A/B tests to evaluate initiatives and inform strategy Collaborate with product, operations, marketing, and finance teams to translate business needs into data solutions Build dashboards and visualizations that communicate complex insights clearly to non-technical stakeholders Ensure data quality, governance, and reproducibility across analytics workflows Mentor and guide junior data scientists and analysts, sharing best practices and standards Contribute to the long-term data and analytics strategy, tooling, and model lifecycle management Required Skills Python RSQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) Data wrangling and ETLBig data tools (Spark/Hadoop)
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you'll lead advanced analytics, experimentation, and machine learning projects that optimize store operations, pricing, and customer experience. You'll partner with cross-functional teams to turn complex data into clear insights, build predictive models, and guide data strategy. You will mentor other data scientists, champion data quality and governance, and help scale analytics capabilities that support sustainable growth, ethical sourcing, and our values-driven mission. Responsibilities Lead end-to-end analytics and machine learning projects from problem framing to deployment and measurement Develop predictive and prescriptive models to optimize customer experience, operations, and pricing Design and analyze experiments and A/B tests to evaluate initiatives and inform strategy Collaborate with product, operations, marketing, and finance teams to translate business needs into data solutions Build dashboards and visualizations that communicate complex insights clearly to non-technical stakeholders Ensure data quality, governance, and reproducibility across analytics workflows Mentor and guide junior data scientists and analysts, sharing best practices and standards Contribute to the long-term data and analytics strategy, tooling, and model lifecycle management Required Skills Python RSQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) Data wrangling and ETLBig data tools (Spark/Hadoop)
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
09/13/2026
Full time
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)
09/13/2026
Full time
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting global retail and beverage operations. You will use statistical modeling, machine learning, and experimentation to optimize store performance, personalize customer experiences, and improve supply chain efficiency. Partner with cross-functional stakeholders to translate business questions into analytical projects, build and validate predictive models, and deliver actionable insights through dashboards and clear storytelling. You'll help shape data strategy, champion data quality and governance, and contribute to a culture of ethical, responsible data use across Starbucks. Responsibilities Collaborate with business stakeholders to define analytical problems and success metrics. Design, build, and validate statistical and machine learning models for retail, customer, and supply chain use cases. Query and transform large datasets using SQL and scripting languages. Develop dashboards and reports to visualize performance and model outcomes. Run A/B tests and experiments to measure the impact of initiatives. Communicate complex findings through clear presentations and data storytelling. Support data governance, quality checks, and documentation of analytical workflows. Partner with engineering teams to operationalize models and analytics solutions. Monitor model performance and iterate based on new data and business feedback. Contribute to a culture of ethical and responsible data use aligned with Starbucks values. Required Skills Python RSQLMachine learning Statistical modeling Data visualization A/B testing and experimentation Predictive analytics Data wrangling Dashboard tools (Tableau/Power BI)
Starbucks is seeking a Senior/Lead Data Scientist to shape data-driven decisions across our global coffee business. In this role, you will design and deploy advanced statistical models and machine learning solutions to optimize store operations, beverage innovation, supply chain, and customer experience. You will partner with cross-functional teams in marketing, operations, and digital product to translate complex data into clear insights and actionable strategies. You'll mentor junior data scientists, promote best practices in experimentation and analytics, and help scale our Data & Analytics capabilities in a values-driven, inclusive environment. Responsibilities Design, build, and validate statistical and machine learning models to solve complex business problems. Translate ambiguous business questions into analytical approaches, experiments, and measurable outcomes. Partner with marketing, operations, and digital teams to deliver data-driven recommendations that impact strategy and performance. Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders. Lead and mentor junior data scientists, promoting best practices in coding, modeling, and documentation. Drive experimentation frameworks, including A/B tests, to evaluate initiatives and optimize customer experiences. Collaborate with data engineering to productionize models and improve data quality and accessibility. Stay current on emerging data science methods and tools and apply them where they add business value. Required Skills Machine learning Statistical modeling Python RSQLData visualization (e.g., Tableau, Power BI) A/B testing and experimentation Big data tools (e.g., Spark, Hadoop) Cloud analytics platforms (e.g., AWS, Azure, GCP) Feature engineering Predictive analytics Time series forecasting Data storytelling Model deployment and MLOps
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Data Scientist to shape data-driven decisions across our global coffee business. In this role, you will design and deploy advanced statistical models and machine learning solutions to optimize store operations, beverage innovation, supply chain, and customer experience. You will partner with cross-functional teams in marketing, operations, and digital product to translate complex data into clear insights and actionable strategies. You'll mentor junior data scientists, promote best practices in experimentation and analytics, and help scale our Data & Analytics capabilities in a values-driven, inclusive environment. Responsibilities Design, build, and validate statistical and machine learning models to solve complex business problems. Translate ambiguous business questions into analytical approaches, experiments, and measurable outcomes. Partner with marketing, operations, and digital teams to deliver data-driven recommendations that impact strategy and performance. Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders. Lead and mentor junior data scientists, promoting best practices in coding, modeling, and documentation. Drive experimentation frameworks, including A/B tests, to evaluate initiatives and optimize customer experiences. Collaborate with data engineering to productionize models and improve data quality and accessibility. Stay current on emerging data science methods and tools and apply them where they add business value. Required Skills Machine learning Statistical modeling Python RSQLData visualization (e.g., Tableau, Power BI) A/B testing and experimentation Big data tools (e.g., Spark, Hadoop) Cloud analytics platforms (e.g., AWS, Azure, GCP) Feature engineering Predictive analytics Time series forecasting Data storytelling Model deployment and MLOps
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
09/13/2026
Full time
Starbucks is seeking a Senior Data Scientist to lead advanced analytics that power decisions across our global coffee and food operations. In this role, you will build and deploy machine learning models to optimize store performance, menu mix, loyalty engagement, and supply chain efficiency. You'll partner with business, marketing, and operations leaders to translate complex data into clear, actionable insights. Using large datasets from retail, mobile, and loyalty channels, you will design experiments, forecast demand, and measure impact. You'll mentor junior data scientists and help shape Starbucks' data science best practices in a collaborative, values-driven environment. Responsibilities Design, build, and deploy machine learning and statistical models for retail, loyalty, and supply chain use cases. Analyze large, complex datasets to generate clear, actionable insights for business stakeholders. Partner with operations, marketing, and product teams to define problems, scope analytics work, and measure impact. Lead A/B tests and other experiments to evaluate new initiatives and optimize customer and store performance. Develop dashboards and data visualizations that communicate trends and recommendations to non-technical audiences. Mentor and guide junior data scientists, sharing best practices in modeling, coding, and experimentation. Contribute to data science standards, tools, and workflows to improve model reliability and scalability. Collaborate with data engineering teams to ensure high-quality data pipelines and model deployment processes. Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) Time series forecasting Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
Starbucks is hiring a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects to optimize store operations, personalization, supply chain, and customer experience. Partner with cross-functional teams to translate business questions into data solutions, build production-ready models, and develop dashboards and experimentation frameworks. You will mentor junior data scientists, champion data quality and governance, and help shape Starbucks' data & analytics strategy with a focus on ethical, responsible AI and measurable business impact. Responsibilities Lead end-to-end design, development, and deployment of machine learning and advanced analytics solutions. Partner with business stakeholders to translate problems into data science projects with clear success metrics. Analyze large, complex datasets to generate insights that improve operations, personalization, and supply chain efficiency. Develop dashboards, reports, and data products that enable self-service analytics for business partners. Design and evaluate experiments (e.g., A/B tests) to measure impact of new initiatives. Mentor and guide junior data scientists and analysts, promoting best practices in modeling and coding. Ensure data quality, reproducibility, and governance across analytics workflows. Collaborate with data engineering teams to improve data pipelines, features, and model performance. Communicate complex analytical findings clearly to technical and non-technical audiences. Contribute to Starbucks' data & analytics strategy with a focus on ethical and responsible AI. Required Skills Python SQLMachine learning Statistical modeling Experiment design (A/B testing) Data visualization (Tableau/Power BI/Looker) Cloud data platforms (AWS/Azure/GCP) Feature engineering Big data tools (Spark/Hadoop) Model deployment/ML Ops
09/13/2026
Full time
Starbucks is hiring a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects to optimize store operations, personalization, supply chain, and customer experience. Partner with cross-functional teams to translate business questions into data solutions, build production-ready models, and develop dashboards and experimentation frameworks. You will mentor junior data scientists, champion data quality and governance, and help shape Starbucks' data & analytics strategy with a focus on ethical, responsible AI and measurable business impact. Responsibilities Lead end-to-end design, development, and deployment of machine learning and advanced analytics solutions. Partner with business stakeholders to translate problems into data science projects with clear success metrics. Analyze large, complex datasets to generate insights that improve operations, personalization, and supply chain efficiency. Develop dashboards, reports, and data products that enable self-service analytics for business partners. Design and evaluate experiments (e.g., A/B tests) to measure impact of new initiatives. Mentor and guide junior data scientists and analysts, promoting best practices in modeling and coding. Ensure data quality, reproducibility, and governance across analytics workflows. Collaborate with data engineering teams to improve data pipelines, features, and model performance. Communicate complex analytical findings clearly to technical and non-technical audiences. Contribute to Starbucks' data & analytics strategy with a focus on ethical and responsible AI. Required Skills Python SQLMachine learning Statistical modeling Experiment design (A/B testing) Data visualization (Tableau/Power BI/Looker) Cloud data platforms (AWS/Azure/GCP) Feature engineering Big data tools (Spark/Hadoop) Model deployment/ML Ops
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects that optimize store operations, personalize customer experiences, and support ethical sourcing and sustainability initiatives. You will partner with cross-functional teams in marketing, supply chain, and operations to translate complex data into clear insights and scalable solutions. You will mentor junior data scientists, champion data quality and experimentation, and help shape Starbucks' long-term data and analytics strategy in a collaborative, values-driven environment. Responsibilities Lead design and delivery of advanced analytics and machine learning solutions to support customer, store, and supply chain decisions. Partner with marketing, operations, and supply chain to frame business problems and translate them into analytical projects. Develop, validate, and deploy predictive and prescriptive models, ensuring scalability and reliability in production. Design and analyze A/B tests and experiments to measure the impact of new initiatives and product changes. Build dashboards and visualizations that communicate complex insights to non-technical stakeholders. Mentor and coach junior data scientists and analysts, promoting best practices in modeling, coding, and documentation. Ensure data quality, governance, and responsible use of data, aligned with Starbucks' values and customer trust. Contribute to the data & analytics roadmap, evaluating new tools, methods, and technologies to improve capabilities. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) A/B testing and experimentation Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics and machine learning projects that optimize store operations, personalize customer experiences, and support ethical sourcing and sustainability initiatives. You will partner with cross-functional teams in marketing, supply chain, and operations to translate complex data into clear insights and scalable solutions. You will mentor junior data scientists, champion data quality and experimentation, and help shape Starbucks' long-term data and analytics strategy in a collaborative, values-driven environment. Responsibilities Lead design and delivery of advanced analytics and machine learning solutions to support customer, store, and supply chain decisions. Partner with marketing, operations, and supply chain to frame business problems and translate them into analytical projects. Develop, validate, and deploy predictive and prescriptive models, ensuring scalability and reliability in production. Design and analyze A/B tests and experiments to measure the impact of new initiatives and product changes. Build dashboards and visualizations that communicate complex insights to non-technical stakeholders. Mentor and coach junior data scientists and analysts, promoting best practices in modeling, coding, and documentation. Ensure data quality, governance, and responsible use of data, aligned with Starbucks' values and customer trust. Contribute to the data & analytics roadmap, evaluating new tools, methods, and technologies to improve capabilities. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hadoop) A/B testing and experimentation Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting our global coffee retail and store operations. In this role, you will analyze large, complex datasets from stores, loyalty programs, supply chain, and digital channels to generate insights that improve customer experience, store performance, and operational efficiency. You will build predictive models, conduct A/B testing, and create dashboards that guide decision-making. You'll partner with business, marketing, and operations teams and help embed data-driven thinking across Starbucks in an inclusive, values-driven culture. Responsibilities Analyze large, complex datasets from stores, loyalty, and digital channels to uncover actionable insights. Develop, validate, and deploy predictive and machine learning models to support key business decisions. Design and analyze A/B tests and experiments to measure the impact of new initiatives. Build clear dashboards and reports to communicate performance trends to stakeholders. Collaborate with marketing, operations, and finance teams to translate business questions into analytical solutions. Clean, transform, and validate data to ensure accuracy, consistency, and reliability. Present findings and recommendations to technical and non-technical audiences. Partner with engineering teams to productionize models and analytics solutions. Monitor model performance and iterate based on business feedback and new data. Support a culture of data literacy and data-driven decision-making across Starbucks. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (Tableau/Power BI) A/B testing and experimentation ETL and data wrangling Cloud data platforms (AWS/Azure/GCP) Dashboard development Time-series analysis Predictive modeling Big data tools (Spark/Hadoop) Version control (Git)
09/13/2026
Full time
Starbucks is seeking a Data Scientist to join our Data & Analytics team supporting our global coffee retail and store operations. In this role, you will analyze large, complex datasets from stores, loyalty programs, supply chain, and digital channels to generate insights that improve customer experience, store performance, and operational efficiency. You will build predictive models, conduct A/B testing, and create dashboards that guide decision-making. You'll partner with business, marketing, and operations teams and help embed data-driven thinking across Starbucks in an inclusive, values-driven culture. Responsibilities Analyze large, complex datasets from stores, loyalty, and digital channels to uncover actionable insights. Develop, validate, and deploy predictive and machine learning models to support key business decisions. Design and analyze A/B tests and experiments to measure the impact of new initiatives. Build clear dashboards and reports to communicate performance trends to stakeholders. Collaborate with marketing, operations, and finance teams to translate business questions into analytical solutions. Clean, transform, and validate data to ensure accuracy, consistency, and reliability. Present findings and recommendations to technical and non-technical audiences. Partner with engineering teams to productionize models and analytics solutions. Monitor model performance and iterate based on business feedback and new data. Support a culture of data literacy and data-driven decision-making across Starbucks. Required Skills Python RSQLMachine learning Statistical modeling Data visualization (Tableau/Power BI) A/B testing and experimentation ETL and data wrangling Cloud data platforms (AWS/Azure/GCP) Dashboard development Time-series analysis Predictive modeling Big data tools (Spark/Hadoop) Version control (Git)
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics, build predictive and optimization models, and turn complex data into clear insights that shape store operations, customer experience, and supply chain. You will partner with cross-functional teams to design experiments, analyze loyalty and sales data, and develop scalable data products. You'll mentor junior data scientists and champion best practices in MLOps, model governance, and responsible AI in a collaborative, values-driven environment. Responsibilities Lead design, development, and deployment of predictive and optimization models for customer, store, and supply chain use cases. Translate ambiguous business questions into clear analytical problems, hypotheses, and measurable success metrics. Design and analyze experiments (A/B tests) to evaluate promotions, product launches, and operational changes. Build robust data pipelines and collaborate with engineering to productionize models and analytics solutions. Develop dashboards and visualizations that clearly communicate insights to technical and non-technical stakeholders. Mentor and guide junior data scientists, promoting best practices in modeling, coding, and documentation. Ensure model governance, monitoring, and responsible AI practices, including fairness and bias assessments. Collaborate with cross-functional partners in marketing, operations, finance, and digital teams to drive data-informed decisions. Required Skills Python RSQLMachine learning Statistical modeling Experiment design / A-B testing Data visualization (e.g., Tableau, Power BI) Cloud analytics platforms (e.g., AWS, GCP, Azure) MLOps and model deployment Big data tools (e.g., Spark, Hadoop)
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee business. In this role, you will lead advanced analytics, build predictive and optimization models, and turn complex data into clear insights that shape store operations, customer experience, and supply chain. You will partner with cross-functional teams to design experiments, analyze loyalty and sales data, and develop scalable data products. You'll mentor junior data scientists and champion best practices in MLOps, model governance, and responsible AI in a collaborative, values-driven environment. Responsibilities Lead design, development, and deployment of predictive and optimization models for customer, store, and supply chain use cases. Translate ambiguous business questions into clear analytical problems, hypotheses, and measurable success metrics. Design and analyze experiments (A/B tests) to evaluate promotions, product launches, and operational changes. Build robust data pipelines and collaborate with engineering to productionize models and analytics solutions. Develop dashboards and visualizations that clearly communicate insights to technical and non-technical stakeholders. Mentor and guide junior data scientists, promoting best practices in modeling, coding, and documentation. Ensure model governance, monitoring, and responsible AI practices, including fairness and bias assessments. Collaborate with cross-functional partners in marketing, operations, finance, and digital teams to drive data-informed decisions. Required Skills Python RSQLMachine learning Statistical modeling Experiment design / A-B testing Data visualization (e.g., Tableau, Power BI) Cloud analytics platforms (e.g., AWS, GCP, Azure) MLOps and model deployment Big data tools (e.g., Spark, Hadoop)
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed decisions across our global coffee and food operations. In this role, you will develop advanced analytics, forecasting, and experimentation frameworks to optimize store performance, menu, pricing, and customer experience. You'll partner with marketing, operations, and supply chain teams to translate business questions into data solutions using statistical modeling, machine learning, and data visualization. You will mentor junior analysts, champion data quality and governance, and help shape Starbucks' data strategy to support sustainable growth and community impact. Responsibilities Translate business questions into analytical frameworks and data solutions. Design and execute experiments, A/B tests, and causal analyses. Develop statistical and machine learning models for forecasting and optimization. Create clear dashboards and visualizations for business stakeholders. Collaborate with marketing, operations, and supply chain teams on data-driven initiatives. Ensure data quality, governance, and documentation of analytical assets. Mentor and guide junior analysts and data scientists. Communicate insights and recommendations to senior leadership. Required Skills Statistical modeling Machine learning A/B testing & experimentation Predictive analytics SQLPython or RData visualization (Tableau/Power BI) Forecasting & time series Data storytelling & presentation Data warehousing/ETL concepts
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food business. In this role, you will build advanced predictive models and experiments to optimize store operations, personalize customer experiences, and support strategic initiatives. You will partner with marketing, supply chain, and store operations to translate data into clear recommendations, design and evaluate A/B tests, and develop dashboards and analytical tools. You will mentor junior data scientists, promote best practices in data science and MLOps, and help shape Starbucks' data and analytics roadmap. Responsibilities Develop and deploy machine learning models to support marketing, store operations, and supply chain decisions Design and analyze A/B tests and experiments to evaluate initiatives and product features Extract, clean, and transform large datasets using SQL and scripting languages Create dashboards and visualizations to communicate insights to non-technical stakeholders Partner with cross-functional teams to translate business questions into analytical solutions Mentor and guide junior data scientists and analysts on methods and best practices Collaborate with data engineering to productionize models and improve data pipelines Define and promote standards for model evaluation, monitoring, and documentation Contribute to the data and analytics strategy and roadmap for Starbucks Present findings and recommendations to senior leadership in clear, actionable terms Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering Predictive analytics ML model deployment/MLOps
09/13/2026
Full time
Starbucks is seeking a Senior/Lead Data Scientist to drive data-informed decisions across our global coffee and food business. In this role, you will build advanced predictive models and experiments to optimize store operations, personalize customer experiences, and support strategic initiatives. You will partner with marketing, supply chain, and store operations to translate data into clear recommendations, design and evaluate A/B tests, and develop dashboards and analytical tools. You will mentor junior data scientists, promote best practices in data science and MLOps, and help shape Starbucks' data and analytics roadmap. Responsibilities Develop and deploy machine learning models to support marketing, store operations, and supply chain decisions Design and analyze A/B tests and experiments to evaluate initiatives and product features Extract, clean, and transform large datasets using SQL and scripting languages Create dashboards and visualizations to communicate insights to non-technical stakeholders Partner with cross-functional teams to translate business questions into analytical solutions Mentor and guide junior data scientists and analysts on methods and best practices Collaborate with data engineering to productionize models and improve data pipelines Define and promote standards for model evaluation, monitoring, and documentation Contribute to the data and analytics strategy and roadmap for Starbucks Present findings and recommendations to senior leadership in clear, actionable terms Required Skills Python SQLMachine learning Statistical modeling A/B testing and experimentation Data visualization (e.g., Tableau, Power BI) Cloud platforms (e.g., AWS, GCP, Azure) Feature engineering Predictive analytics ML model deployment/MLOps