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Amazon Data Science Jobs in Oregon (NOW HIRING)

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems ... Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face ...

For more than 30 years, we've been dedicated to wellness, farming, and science. We are a family ... As we continue to grow across retail, wholesale, Amazon, and direct-to-consumer channels, we remain ...

Company Description For more than 30 years, we've been dedicated to wellness, farming, and science ... As we continue to grow across retail, wholesale, Amazon, and direct-to-consumer channels, we remain ...

$40/hr

... Amazon EC2, database design, knowledge of and web protocols * Based on team assignment, may require/prefer: a solid foundation in computer science, with competencies in data structures, algorithms ...

$40/hr

... Amazon EC2, database design, knowledge of and web protocols * Based on team assignment, may require/prefer: a solid foundation in computer science, with competencies in data structures, algorithms ...

$40/hr

... Amazon EC2, database design, knowledge of and web protocols * Based on team assignment, may require/prefer: a solid foundation in computer science, with competencies in data structures, algorithms ...

$40/hr

... Amazon EC2, database design, knowledge of and web protocols * Based on team assignment, may require/prefer: a solid foundation in computer science, with competencies in data structures, algorithms ...

Requried Skills Bachelor's Degree in Computer Science or a related technical field * Assist the ... Use AWS data ingestion technologies to source data from multiple data sources * Identify and ...

Showing results 41-60

Amazon Data Science information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do amazon data science jobs pay per year?

As of Sep 11, 2026, the average yearly pay for amazon data science in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

What are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What are the most commonly searched types of Amazon Data Science jobs in Oregon?

The most popular types of Amazon Data Science jobs in Oregon are:

Infographic showing various Amazon Data Science job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Lead AI/ML Engineer

OR • On-site, Remote

$180K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Key responsibilities

  • Lead the design, evaluation, and implementation of AI/ML solutions supporting federal initiatives.

  • Collaborate with clients and engineering teams to deliver mission-critical AI/ML applications in AWS cloud environments.

  • Mentor engineering teams and communicate technical findings and recommendations to stakeholders.


Job description

Attain Talent is seeking a Lead AI/ML Engineer to lead the design, evaluation, and implementation of cutting-edge artificial intelligence and machine learning solutions supporting high-impact federal initiatives. This role is ideal for a senior technical leader who thrives at the intersection of AI, cloud engineering, and innovation, helping drive enterprise adoption of emerging technologies while mentoring engineering teams and partnering directly with federal clients.

You Will Get To

  • Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation.
  • Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders.
  • Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments.
  • Support AI/ML application development across development, operations, and security disciplines in cloud-native environments.
  • Drive enterprise adoption of modern AI technologies and engineering best practices.
  • Build, train, evaluate, and optimize machine learning models for production use cases.
  • Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions.
  • Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members.
  • Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers.

Who You Are

  • A technical leader who enjoys solving complex engineering and machine learning challenges.
  • Passionate about applying AI to solve meaningful, real-world problems within the federal government.
  • Comfortable leading technical discussions with engineers, architects, and executive stakeholders.
  • Curious about emerging AI technologies and excited to evaluate new tools and platforms.
  • A collaborative mentor who enjoys helping teams grow while driving technical excellence.
  • An excellent communicator capable of translating complex technical concepts into actionable recommendations.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent experience).
  • 7-10 years of professional experience in software engineering or cloud engineering experience.
  • At least 3 years of experience deploying production enterprise applications in AWS.
  • At least 2 years of experience deploying production AI/ML applications in enterprise environments.
  • Strong proficiency in Python.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or similar technologies.
  • Strong data analysis and manipulation experience using pandas.
  • Experience visualizing and presenting experiment results using tools such as matplotlib.
  • Experience working within AWS cloud environments.
  • Ability to quickly learn new technologies and contribute across multiple projects.
  • Strong analytical, communication, and problem-solving skills.
  • Comfortable presenting technical solutions to clients and executive stakeholders.

Nice to Have

  • Experience leading or managing engineering teams.
  • Experience mentoring software engineers or machine learning engineers.
  • Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents.
  • Experience deploying AI solutions using MLOps best practices.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Experience building CI/CD pipelines for AI/ML workloads.
  • Familiarity with DevSecOps and secure software development practices.
  • Experience supporting federal, highly regulated, or mission-critical environments.

Client Requirements

  • Applicants must be U.S. Citizens.
  • Ability to obtain a Public Trust clearance.

Salary

We are committed to offering a competitive salary for this position, with an estimated range of $180,000 to $230,000 annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors.

Full Time Employee Benefits

  • Remote Work (Hybrid roles will be specified in the job post)
  • Competitive Compensation Package
  • Medical, Dental, and Vision
  • Life Insurance, Short/Long Term Disability
  • Employee Assistance Program
  • 401(k) with 4% matching
  • Liberal PTO vacation policy
  • Generous Annual Continuing Education
  • Annual Wellness Budget
  • Bonus Incentive Programs (Employee referrals and performance-based rewards)