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Remote Amazon Data Science Jobs in Oregon (NOW HIRING)

Honor

Staff Data Scientist

Portland, OR · Remote

... Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Netflix

Distributed Systems Engineer (L4) - Data Platform

OR · On-site +1

$71K - $464K/yr

In addition, we are open to remote candidates. We value what you can do from anywhere in the U.S ... We work closely with Data Science to develop and operationalize predictive models, translating them ...

Netflix

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... science teams to enable a culture of learning. Learn more about the work of data engineers at ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

phData

Principal Applied AI Solutions Architect

OR · On-site +1

You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

IQVIA

Senior Data Team Lead (Remote)

Portland, OR · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

Nvidia

Solutions Architect, Energy OT and Industrial AI

OR · On-site +1

$63 - $83/hr

Engaging with internal developers, researchers, data scientists, and senior leaders is vital and ... Improve OT/ICS cybersecurity and secure remote access with Morpheus and BlueField. Develop ...

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Attain Talent

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 ...

StarTree

Technical Support Engineer

OR · On-site +1

Amazon AWS, Google Cloud, or Microsoft Azure. * Bonus points: Certification in Solutions ... Degree in Computer Science with a focus on Data Science, Data Engineering, or Data Analytics.

Natera

Medical Science Liaison

OR · On-site +1

Act as a subject matter expert on gastrointestinal oncology disease states, clinical data, and the ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

Natera

Medical Science Liaison

OR · On-site +1

Act as a subject matter expert on oncology disease states, clinical data, and the broader ... This is a remote, field-based position requiring daily use of a computer and the ability to travel ...

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All JobsAmazon Data Science JobsRemote Amazon Data Science JobsRemote Amazon Data Science Jobs in Oregon

Remote Amazon Data Science information

What is the difference between Remote Amazon Data Science vs Remote Amazon Data Analyst?

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

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For Remote Amazon Data Science jobs in Oregon, the most frequently searched job titles are:

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Remote Amazon Data Science jobs near you

Staff Data Scientist

Portland, OR • Remote

Honor
See more jobs at Honorexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Job description

Honor Technology's mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor's growing portfolio includes its consumer care brand, Home Instead, Inc., the world's leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually.

Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms.

Join us to create a new and better aging experience for our clients, their families, and our Care Professionals. 

About the role: 

We're looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development. 

As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms.

About the work:

  • Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity.
  • Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it.
  • Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact. 
  • Research operational/logistical problems and proactively identify potential solutions.
  • Lead the design, implementation, and evaluation of descriptive and predictive models.
  • Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity.

About you: 

  • 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment.
  • You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs.
  • Deep professional expertise in at least one of the following two areas:
    • Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting.
    • Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact.
  • You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals. 
  • Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
  • You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes.
  • You rapidly iterate and deliver technical solutions that maximize business impact.
  • Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders.

You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies.

Bonus points if you have professional experience with: 

  • Experience designing experiments and applying causal inference methods to rigorously determine business impact.
  • Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting).
  • Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines.
  • Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment.

Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training.


Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match.
We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.

 

Hiring Salary Range
$194,400—$216,000 USD

At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role.

Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.