Data Scientist Ii Generative Ai Innovation Center jobs at Amazon in 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)

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.

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 top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune 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 leading generative AI solutions to address real-world challenges* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
* Provide customer and market feedback to product and engineering teams to help define product direction
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

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years hands on experience with Python to build, train, and evaluate models
- 4+ years technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWS

Key job responsibilities
· Minimum of 3+ years’ industry experience as a software development engineer, web development engineer, front end engineer or similar
· Proficiency in JavaScript and CSS
· Proficiency in at least one widely-used front end frameworks (e.g. react.js, next.js, etc)
· Proficiency working in middle tier (API, back-end-for-front-end, or similar)
· Proficiency in at least one widely-used typed, OO language (e.g. Java, C#, Python)
· Strong problem solving and analytical abilities
· Deep knowledge and practice of software best practices for the full software development life-cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
· Experience mentoring other software engineers to improve their skills and make them more effective and productive
· Strong advocacy of agile engineering practices
· Success with continuous integration and deployment practices

- 3+ years of non-internship professional front end, web or mobile software development using JavaScript, HTML and CSS experience
- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience
- Experience using JavaScript frameworks such as angular and react

- 2+ years of agile software development methodology experience
- Experience with common front-end technologies such as HTML, CSS, JS, TypeScript, and Node

Key job responsibilities
The Applied Scientist II will contribute to the development of AI systems. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a training and certification product level. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You'll work closely with product and engineering leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact.
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

- 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

Application deadline: Jan 7, 2026This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.Key job responsibilities
- Able to properly respond, acknowledge, investigate, and dispatch critical alarms
- Monitor the facility infrastructure platform
- Perform change management tasks
- Create and issue tickets
- Follow verbal and written directions
- Have an intermediate level of understanding of critical infrastructure
- Proficient computer and communication skills
- Required shift-work, overtime, and/or rotating schedules to support a 24X7 environment (Rotating shift work equates to weekends, nights, holidays and overtime shifts)A day in the life
The Facility Operations Center (FOC) serves as the centralized 24/7 remote monitoring center for AWS data center’s critical physical facilities infrastructure systems.The FOC ensures safety across all AWS data centers by enforcing Change Management policies and is the communication hub during emergency and normal operations.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.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.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 in relevant work
- 3+ years of technical support experience, or Bachelor's degree in engineering or equivalent
- Experience documenting technical customer issues and 1+ years of customer facing IT role or physical security systems/infrastructure work experience
- Current, active US Government Security Clearance of TS/SCI with polygraph.

- Experience troubleshooting and debugging technical systems
- 3+ years of customer service experience
- 3+ years of Microsoft Office products and applications experience