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Data Science Research Assistant Remote Jobs in Portland, OR

Honor

Staff Data Scientist

Portland, OR · Remote

Research operational/logistical problems and proactively identify potential solutions. * Lead the ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Lumencor

Sales Engineer, Microscopy

Beaverton, OR · Remote

... life science research tools. Products are sold worldwide to equipment manufacturers (OEMs ... remote desktop applications. Ability to query databases, extract and organize output data.

argenx

Medical Science Liaison (Northwest)

Portland, OR · On-site +1

... is remote and will cover the following territory: Oregon, Washington, Idaho, Montana and Alaska ... data and research objectives * Deliver high quality scientific/medical education in a variety of ...

Davis Wright Tremaine LLP

Research Librarian

Portland, OR · On-site +1

$105K - $111K/yr

This position offers the flexibility to be fully remote while working within reasonable commuting ... Master's Degree in Library and Information Science or JD * Demonstrated proficiency with major ...

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All JobsData Science Research JobsData Science Research Assistant Remote JobsData Science Research Assistant Remote Jobs in Portland, OR

Data Science Research Assistant Remote information

See Portland, OR salary details

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$23

$33

How much do data science research assistant remote jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data science research assistant remote in Portland, OR is $23.23, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science research assistant remote?

To thrive as a Data Science Research Assistant (Remote), a solid background in statistics, programming (Python or R), and data analysis, often supported by relevant coursework or a degree, is essential. Familiarity with data visualization tools (e.g., Tableau), databases (SQL), and platforms like Jupyter Notebook, as well as experience with machine learning libraries, is typically required. Strong problem-solving abilities, attention to detail, self-motivation, and effective remote communication skills make candidates stand out. These competencies are crucial for managing complex data tasks, collaborating with team members virtually, and delivering reliable analytical insights.

What are common challenges faced by remote data science research assistants, and how can they be addressed?

Remote Data Science Research Assistants often encounter challenges such as maintaining clear communication with team members, managing time across different projects, and accessing necessary datasets or computing resources. Overcoming these hurdles typically involves leveraging collaboration tools like Slack or Zoom for regular check-ins, setting clear expectations with supervisors on deliverables, and ensuring secure, remote access to data and software. Proactively seeking feedback and participating in virtual team meetings can help foster a sense of connection and keep projects on track.

What is the difference between Data Science Research Assistant Remote vs Data Analyst Remote?

AspectData Science Research Assistant RemoteData Analyst Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in Data Analysis, Statistics, or related field
Work EnvironmentRemote research projects, academic or research institutionsRemote data interpretation and reporting for various industries
Employer & Industry UsageUniversities, research labs, tech companiesBusiness, finance, healthcare, marketing

While both roles involve working with data remotely, Data Science Research Assistants focus on research projects, often in academic or research settings, requiring a strong foundation in data science and statistics. Data Analysts typically analyze and interpret data for business insights across various industries. The roles share similar credentials but differ in their primary focus and work environment.

What is a data science research assistant remote?

A Data Science Research Assistant (Remote) is a professional who supports data scientists and research teams by collecting, cleaning, analyzing, and visualizing data, often from a remote location. Their responsibilities may include assisting with experiment design, performing statistical analyses, preparing datasets, creating reports, and helping to develop or test machine learning models. Working remotely, they utilize collaboration tools and cloud platforms to work efficiently with distributed teams. This role is ideal for individuals with strong analytical skills, programming knowledge (such as Python or R), and an interest in research and data-driven problem solving.
What are popular job titles related to Data Science Research Assistant Remote jobs in Portland, OR? For Data Science Research Assistant Remote jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant Remote jobs in Portland, OR look for? The top searched job categories for Data Science Research Assistant Remote jobs in Portland, OR are:
Data Science Research Assistant Remote jobs near you

Staff Data Scientist

Honor

Portland, OR • Remote

Full-time

Re-posted 13 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.