Staff Data Scientist
Portland, OR · Remote
... Economics, Physics) or equivalent professional experience. * You are able to manage product ... Experience designing experiments and applying causal inference methods to rigorously determine ...
Staff Data Scientist
Portland, OR · Remote
... Economics, Physics) or equivalent professional experience. * You are able to manage product ... Experience designing experiments and applying causal inference methods to rigorously determine ...
Remote Experimental Physicist information
See Portland, OR salary details
$41.9K - $59.9K
19% of jobs
$63K is the 25th percentile. Wages below this are outliers.
$59.9K - $77.9K
36% of jobs
$77.9K - $96K
11% of jobs
$109.9K is the 75th percentile. Wages above this are outliers.
$96K - $114K
13% of jobs
$114K - $132K
8% of jobs
$132K - $150.1K
5% of jobs
$150.1K - $168.1K
3% of jobs
$168.1K - $186.1K
2% of jobs
$186.1K - $204.1K
1% of jobs
$204.1K - $222.2K
1% of jobs
$222.2K - $240.2K
1% of jobs
$41.9K
$100.5K
$240.2K
How much do remote experimental physicist jobs pay per year?
As of Aug 31, 2026, the average yearly pay for remote experimental physicist in Portland, OR is $100,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $118,800.00 per year, depending on experience, location, and employer.
What is a remote experimental physicist?
A Remote Experimental Physicist is a scientist who designs, conducts, and analyzes physical experiments, often working from a location outside of a traditional laboratory setting. They use advanced technology and remote access tools to control equipment, collect data, and collaborate with research teams online. This role allows for flexibility and can involve working on experiments in fields like quantum mechanics, materials science, or particle physics, often partnering with institutions or laboratories worldwide. Remote Experimental Physicists must have strong problem-solving skills, technical expertise, and the ability to adapt to virtual work environments.
What are the key skills and qualifications needed to thrive as a remote experimental physicist, and why are they important?
To thrive as a Remote Experimental Physicist, you need a robust background in physics, data analysis, and experimental design, typically supported by an advanced degree (Ph.D. or M.S.) in physics or a related field. Familiarity with simulation software, remote instrumentation control systems, and data processing tools such as Python or MATLAB is crucial. Strong problem-solving abilities, self-motivation, and effective virtual communication skills help you excel in remote collaborations and troubleshooting. These skills ensure the accurate execution of experiments, reliable data interpretation, and seamless teamwork despite physical distance.
How do remote experimental physicists collaborate effectively with laboratory teams and manage hands-on experiments from a distance?
Remote experimental physicists often use advanced digital tools, such as remote lab interfaces, video conferencing, and cloud-based data analysis platforms, to actively participate in experiments and collaborate with on-site teams. Clear communication and well-documented procedures are essential to ensure experiments run smoothly despite the physical distance. Regular virtual meetings, detailed experiment protocols, and real-time data sharing help maintain alignment with laboratory staff. While physical presence may occasionally be required for critical setup or troubleshooting, most tasks can be managed remotely with proper planning and support.
What is the difference between Remote Experimental Physicist vs Remote Data Scientist?
| Aspect | Remote Experimental Physicist | Remote Data Scientist |
|---|---|---|
| Required Credentials | Physics degree, PhD often preferred | Statistics, Computer Science, or related degree |
| Work Environment | Research labs, universities, industry R&D | Tech companies, finance, healthcare, various industries |
| Industry Usage | Research, academia, scientific organizations | Business analytics, AI, machine learning applications |
| Common Search Intent | Research roles, scientific projects | Data analysis, predictive modeling |
The main difference between a Remote Experimental Physicist and a Remote Data Scientist lies in their focus and industry application. Experimental Physicists primarily work on scientific research and experiments in labs or academic settings, often requiring advanced physics degrees. Data Scientists analyze data to inform business decisions across various industries, typically with backgrounds in statistics or computer science. Both roles can be remote, but their core responsibilities and work environments differ significantly.
What are popular job titles related to Remote Experimental Physicist jobs in Portland, OR?
For Remote Experimental Physicist jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Experimental Physicist jobs in Portland, OR look for?
The top searched job categories for Remote Experimental Physicist jobs in Portland, OR are:
Full-time
Medical, Dental, Vision, Life, Retirement
Re-posted 2 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.