דרושים Data Scientist Iii Proserve Genai Gen Ai Innovation Center ב-אמזון ב-United States, Arlington

In this role, you will tailor and implement sales operations processes that manage tactical-to-strategic activities and enable KGS to meet long-range growth goals. You will translate data into strategy—aligning financial, operational, and business development insights to enhance decision-making, accelerate deal velocity, and strengthen Kuiper’s position across U.S. government markets.Key job responsibilities
Strategic Sales Operations & Lifecycle Management:
•Develop and execute scalable sales and pipeline management strategies that align with KGS’s long-range plan (LRP) and growth objectives.
•Build and optimize data-driven processes to forecast, track, and evaluate pipeline performance across Defense, National Security, and Civil markets.
•Lead the design of integrated reporting ecosystems and dashboards that unify financial, business development, and operational insights for leadership visibility.
•Implement and improve process governance across Pursue/No-Pursue, Bid/No-Bid, and Propose phases to ensure consistency, velocity, and compliance.
•Sustain unified, consistent and accurate reporting of business growth efforts across the organization.Business Planning & Intelligence:
•Establish frameworks to analyze sales trends, evaluate performance metrics, and identify opportunities for operational improvement and market expansion.
•Align Finance, Business Development, and Operations functions around shared data sets and performance expectations.
•Analyze business data to assess pipeline health against benchmarks and identify opportunities for enhancements
•Deliver and implement strategic recommendations to leadership based on pipeline analytics, market signals, and Voice of the Customer insights.Cross-Functional Enablement & Strategic Communication:
•Partner with product, service, and capture teams to articulate Kuiper’s value proposition and roadmap to U.S. government customers.
•Transform Voice of the Customer data into actionable insights that shape KGS’s product, service, and business development strategies.
•Enable executive decision-making through structured communication, strategic reporting, and clear articulation of growth priorities.This position is located in Arlington, VA. Some travel, primarily domestic, will be required.Security Clearance: This position requires that the selected candidate be a US Citizen and must be able to obtain and maintain a US Government security clearance of TS/SCI.

- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- 4+ years of experience in sales operations, business operations, or strategic planning.
- 4+ years of experience using Salesforce or equivalent CRM platform.
- Strong analytical, organizational, and communication skills, with a proven ability to translate complex data into actionable business insights.

- 5+ years of experience in sales operations, finance, or business management, ideally in the government or technology sectors.
- Demonstrated expertise in designing and maintaining a structured sales pipeline and lifecycle management process.
- Familiarity with Salesforce Einstein Analytics, Confluence, and JIRA.
- Clear understanding of industry business development benchmarks
- Understanding of government SATCOM needs and acquisition processes.
- Proven success developing scalable business operations frameworks that enable growth and efficiency.

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 23, 2025Possessing 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:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsDiverse 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

- Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
- 3+ years of any combination of the following: application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience
- 3+ years of cloud computing technologies experience
- 1+ years in automating security operations including scripting and automation to build scalable and secure environments, automating security assessments and remediation workflows, and implementing security policies as code
- 1+ years in advanced incident response to lead response efforts including leading detection and analysis efforts and managing eradication processes

- Experience with designing and building application using AWS services such as Lambda, AWS Elastic Beanstalk, Kubernetes
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST
- Experience in communicating technical concepts to a non-technical audience
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional, Certified Security Specialty) preferred
- Implementation experience with enterprise security solutions (e.g., WAF, IPS, Anti-DDOS, SIEM)

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)

Application deadline: Oct 12, 2025
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
KEY RESPONSIBILITIES
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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 experience in cloud architecture and implementation
- Bachelor’s degree in computer science, Engineering, related field, or equivalent experience
- 5+ years of experience in working with enterprise customers in cloud transformation activities including building, migrating and modernizing enterprise applications
- 5+ years of large-scale software development or application engineering with recent coding experience in two or more of the following languages: React/ReactJS, Java/Kotlin, JavaScript, Python, C/C++, C#, Objective-C, Node.js, .NET, PHP or Ruby
- 3+ years experience with Continuous Integration and Continuous Delivery (CI/CD) using industry standard tooling

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production
• Help customers optimize their solutions through approaches such as model selection, training or tuning, right-sizing, distillation, and hardware optimization
• Provide customer and market feedback to product and engineering teams to help define product direction

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or PhD and 7+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience
- 5+ years of building machine learning models or developing algorithms for business application experience
- 5+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Have peer-reviewed scientific contributions in premier journals and conferences
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.

JOB SUMMARY The Amazon Web Services Professional Services (ProServe) team is seeking a highly skilled and versatile Engagement Manager (EM) to join our team and lead the delivery of complex cloud solution projects. In this role you will combine technical expertise with strong project leadership skills to drive successful implementations of AWS-based solutions for our clients. You will bridge business requirements with technical solutions, facilitating technical discussions and ensuring alignment with customer outcomes. Applying AWS frameworks like Well-Architected and Cloud Adoption Framework while demonstrating technical credibility across diverse stakeholders, you will distill customer needs into clear technical requirements, decompose complex problems, and make informed trade-off decisions considering performance, scalability, security, and business impact. Possessing strong technology and program/project management experience, you will validate technical solutions against business goals, recognize when additional technical evaluation is needed, and manage technical risks. You will be expected to achieve and maintain relevant AWS certifications, develop domain-specific expertise, and effectively communicate technical concepts to both technical and business audiences. As you progress, you’ll lead increasingly complex technical projects, shape cross-organizational technical strategies, and establish best practices in your domain. In this role you will apply your management and leadership capabilities to successfully execute project plans, proactively identify and manage risks, resolve issues, escalate when appropriate, and drive projects to successful completion, while exceeding customer expectation The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific 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 technology program/project manager, you will be responsible for:
Leading and managing complex cloud migration and implementation projects
Leveraging comprehensive knowledge of AWS services, architectures, and best practices to guide technical decisions and strategic planning
Bridging business requirements with technical solutions, facilitating engineering discussions and ensuring alignment with customer business outcomes Distilling customer needs into clear technical requirements and map them to business outcomes
Decomposing complex technical problems into actionable, deliverable solutions
Contributing to technical documentation and define documentation standards

- Experience in project management
- Bachelor's degree or above in computer science, computer engineering, or related field
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or Bachelor's degree

- 1+ years of professional work experience, or experience with AWS services or other cloud offerings
- Experience representing your team or technical area to senior management
- Knowledge of AWS or cloud technologies