Data Scientist - Machine Learning Wwps Proserve jobs at Amazon in United States, Arlington

- 10+ years of non-internship professional software development experience
- Knowledge of object-oriented design, data structures, and algorithms

- Experience designing and building large-scale systems in a multi-tiered, distributed environment (Service Oriented Architecture)

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.

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 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)

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

In this role, you will be the Principal technical lead responsible for architecting and delivering a unified solution that addresses the growing global need for critical national assets protection. You will drive the technical strategy for a solution that transforms national security by moving from siloed, domain-specific approaches to a unified platform that coordinates responses across both physical and digital threats.This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance.Key job responsibilities
Your broad responsibilities will include: leading the technical architecture for multi-source intelligence integration and digital twin technology; designing scalable, real-time command and control architectures for national security missions; architecting AI-driven threat detection and autonomous response systems; ensuring complete data sovereignty and human-in-the-loop oversight capabilities; defining implementation strategies for diverse deployment scenarios including sovereign and multi-nation collaborations and serving as the primary technical authority on advanced cloud security, edge computing, and AI/ML integration for defense applications.You will collaborate directly with military stakeholders, intelligence community leaders, and international partners to translate the most critical operational requirements into innovative technical solutions. You will lead cross-functional teams of architects, engineers, and data scientists while establishing AWS as the essential partner in national security infrastructure with capabilities no other cloud provider can match.
- Leading the architecture development of AI-driven solutions that protect national security and critical infrastructure
- Deep technical leadership in multi-domain sensor fusion, agentic AI, and real-time threat response systems
- Building solutions that adapt to complex geopolitical requirements and international collaboration frameworksAbout 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.

- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Knowledge of distributed systems design and implementation or equivalent
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience with military C2 systems and battle management networks
- Deep understanding of DoD networks, protocols, and security requirements
- Current, active US Government Security Clearance of Top Secret with SCI eligibility or above

- Knowledge of Zero Trust Architecture and DoD Zero Trust Reference Architecture
- Familiarity with JADC2 (Joint All-Domain Command and Control) initiatives
- Experience with AI/ML integration in operational military systems
- AWS certifications (Solutions Architect Professional, Security Specialty)
- Understanding of tactical edge computing and SATCOM integration
- Experience with containerization and microservices architecture