דרושים Data Scientist Aws Professional Services ב-אמזון ב-United States, Arlington

In this role, you will join a team of Solutions Architects that help assure certification question accuracy for existing and new certification exams. As an AWS subject matter expert, you will advise question writers with technical expertise and acumen for exam development and provide leadership for certification exam evolution and new exam development. You will leverage your development expertise to architect and develop the next generation of certification development and delivery tools and help automate manual processes. Where applicable, you will leverage and apply AWS GenAI services to assist in maintaining certification exam integrity, detect fraud, and provide predictive analytics and improve operational efficiencyKey job responsibilities
- Participate in managing, monitoring, and developing technical certification exam questions
- Design and manage development of internal applications to support exam development, maintenance, analytics, and fraud detection
- Recommend ways to incorporate Generative AI into internal application and processes
- Maintain the technical bar for a cadre of expert technical question writers**There may be occasional travel involved for this role**AWS Global Services
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience with AI/ML technologies

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience with one of the following programming languages: Python, Ruby, Node.js, C#, or C++
- Experience with Amazon Bedrock or SageMaker

Application deadline: Nov 25, 2025
offerings, and creating proposals and SOW’s.
relationships which enables exceptional business performance. DPMs success is primarily measured by consistently delivering customer engagements by supporting sales through scoping technical requirements for an engagement, delivering engagements on time, within budget, and exceeding customer expectations. They will hold the Practice total utilization goal and be responsible for optimizing team performance.
outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.Key job responsibilities
As an experienced Professional Services Delivery Manager, you will be responsible for:Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Global Services

- 8+ years experience in IT and/or Management Consulting, with at least 3 years in a people leadership role
- Experience managing IT transformation projects
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of progressive experience within a Security Consulting team or a similar operating environment

- Advanced technology degree or AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Strong project management and resource management capabilities
- Financial acumen with P&L management experience
- Ability to navigate complex stakeholder relationships and drive change
- Sales and negotiation skills for opportunity capture and proposal development
- Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships
- 2+ years in one or more of the following areas: application security, application development, incident response, cloud security and governance, penetration testingThe base pay range for this position is listed below. Hourly pay ranges include the base pay rate plus the highest available shift differential which applies depending on the shift you select.

In this role, you will build network pathways with which customers connect to Amazon's Dedicated Cloud partitions. You'll architect and implement software security protocols across Wide Area Networks (WANs), ensuring seamless and secure access to dedicated cloud environments. By developing sophisticated control and dataplane systems, you'll protect critical customer connections flowing through Amazon's global network of datacenters. You'll leverage the AWS ecosystem and integrate with third-party solutions to create secure pathways that meet our customers' stringent security requirements. Working alongside technology experts across Amazon, you'll define the next generation of dedicated cloud connectivity, setting new standards for enterprise-grade security. Your expertise in network encryption and software development will directly impact how how AWS customers access their mission-critical cloud infrastructure.Key job responsibilities
- Build distributed systems that are scalable, fault-tolerant, low cost, with ease of management and use.
- Participate in oncall rotation in support of our servicesA day in the life
Utility Computing (UC)Work/Life Balance
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

- 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
- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)
- Experience programming with at least one software programming language
- Experience with networking protocols (TCP/IP, BGP, IPSec)

- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience with network Layer2/3 encryption(HAIPE/Ethernet Data Encryption(EDE))
- Current, active US Government Security Clearance of Top Secret or above

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
Key job responsibilities
As an experienced technology professional, you will be responsible for:2. Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads.
3. Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable.5. Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
6. Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts.
7. Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies.About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 8+ years leading technical teams and hands-on experience focused on data, software, or ML engineering, with strong understanding of distributed computing. (e.g., data pipelines, training and inference, ML infrastructure design)
- 5+ years developing predictive modeling, natural language processing, and deep learning, with a proven track record of building and deploying ML models on cloud. (e.g., Amazon SageMaker or similar)
- 5+ years developing with SQL, Python, and at least one additional programming language (e.g., Java, Scala, JavaScript, TypeScript). Proficient with leading ML libraries and frameworks (e.g., TensorFlow, PyTorch)

Application deadline: Jan 16, 2026Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience developing software code in one or more programming languages (java, python, etc.)
- PhD or Masters of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 5+ years of experience hosting and deploying GenAI/ML solutions (e.g., for data pre-processing, training, deep learning, fine tuning, and inferences) or/and Data Science Experience
- 5+ years of coding, data querying languages (e.g. SQL), scripting languages (e.g. Python)

Application deadline: Dec 5, 2025You will provide thoughtful technical design and offer sensitivity to our customer needs in the Defense markets for cloud computing working with a truly innovative sales and business development team. You will lead efforts to capture and share best-practice knowledge amongst the AWS solution architect community. You will have the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry today across the breadth of enterprise architecture.
- Deep-dive technical discussions around design and the curiosity to keep your technical skills current while maintaining a pulse on industry trends
Experience in the following key areas are helpful:
- Executive Speaking and Presentation Skills – White board, small and large group presentations
- Technical – Experience with web applications services development/deployment, DevOps/DevSecOps, cloud computing, data and database architectures and analytics, or networking
- Operational – Web site/services operations, management, and securityThis position requires that the candidate selected be a US Citizen.About the team
About AWS
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Associate's degree or above, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional)

- 5+ years of infrastructure architecture, database architecture and networking experience
- Experience working with end user or developer communities

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience in software development with object oriented language
- 4+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Professional level certification
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Strong working knowledge of deep learning, machine learning and statistics
- Experience related to AWS services such as SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
- Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)