Senior Data Scientist - Data and Machine Learning, WWPS ProServe

Amazon; Herndon (VA); On-site; USD 143,000 - 248,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you will leverage your expertise in Machine Learning and Generative AI to solve real-world challenges for the US Intelligence Community. This role involves designing tailored AI solutions, collaborating with diverse teams, and providing guidance on innovative data science practices. With a focus on reliability and transparency, you will help shape the future of AI applications in a dynamic environment. Enjoy flexible work arrangements and a culture that values learning and diversity, making a significant impact in the world of technology.

Benefits

Flexible work hours

Professional development resources

Mentorship opportunities

Inclusive team culture

Qualifications

• 5+ years of experience building models for business applications.
• Proficiency in Python and experience with deep learning frameworks.

Responsibilities

• Collaborate with AI/ML scientists to research and develop AI algorithms.
• Create and deliver best practice recommendations and tutorials.

Skills

Machine Learning

Generative AI

Python

Deep Learning

Data Mining

Algorithms and Data Structures

Optimization

Education

Bachelor's degree in Computer Science

Master's or PhD in related field

Tools

TensorFlow

Keras

PyTorch

MXNet

Job description

Senior Data Scientist - Data and Machine Learning, WWPS ProServe

Job ID: 2953184 | Amazon Web Services, Inc.

Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission.

Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs.

At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems.

In this role, you will work closely with customers to understand their data challenges and requirements, designing tailored solutions that best fit their use cases. You should have broad experience building models from various data sources and developing data-intensive applications at scale. Excellent business acumen and communication skills are essential to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will also provide guidance and support to other engineers, sharing industry best practices and driving innovation in data science and AI.

This position requires that the candidate currently possess and maintain an active TS/SCI Security Clearance with Polygraph, with the possibility to opt into a clearance for each government agency for AWS work.

Key job responsibilities

1. Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges.
2. Interact with customers to understand their business problems, assist in implementing AI solutions, deliver briefings and deep dive sessions, and guide on adoption patterns and paths to production.
3. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
4. Provide customer and market feedback to Product and Engineering teams to influence product development.
5. This role may require up to 25% local travel.

About the team

About AWS

We value diverse experiences and encourage candidates who do not meet all listed qualifications to apply, including those starting their careers or with non-traditional paths.

Why AWS?

Amazon Web Services (AWS) is the most comprehensive cloud platform, trusted by startups to Global 500 companies, continuously innovating to meet customer needs.

Inclusive Team Culture

Our culture of learning and curiosity is fostered by employee-led affinity groups promoting inclusion and celebrating differences.

Mentorship & Career Growth

We offer resources for professional development, mentorship, and career advancement.

Work/Life Balance

Flexible work hours and arrangements support work-life harmony, enabling our team to achieve success both professionally and personally.

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience.
• 5+ years of experience building models for business applications.
• Experience with algorithms, data structures, parsing, optimization, data mining, parallel and distributed computing, neural deep learning, and machine learning.
• Proficiency in Python and experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, MXNet.
• Active US Government Security Clearance of TS/SCI with Polygraph.

PREFERRED QUALIFICATIONS

• Masters or PhD in computer science, engineering, mathematics, or related quantitative field.
• Practical experience solving complex problems in applied environments.
• Hands-on experience with deep learning frameworks like PyTorch, TensorFlow, or JAX.
• Experience building applications leveraging Generative AI (GenAI).

Amazon is an equal opportunity employer and values diversity. For accommodations during the application process, visit https://amazon.jobs/content/en/how-we-hire/accommodations. Compensation ranges from $143,300 to $247,600 annually, depending on location and experience. For more details, visit https://www.aboutamazon.com/workplace/employee-benefits. This position remains open until filled. Applicants should apply via our career site.