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Remote Data Science Jobs in Oregon (NOW HIRING)

UMB Financial

Data Product Manager

OR · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet ... Remote friendly (within the U.S.) * Pre-tax transportation options for commuting to our office in ...

Azurity Pharmaceuticals, Inc.

Senior Data Scientist

OR · On-site +1

... best science and commitment to quality into everything that we do. * Mission: * Use the data ... prepared by the Data Engineer to run analysis using different tools and methodologies and provide ...

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

This is a full-time (40 hours/week), 100% remote position. It is currently funded through September ... Bachelor's degree in data science, statistics, computer science, healthcare informatics ...

Wellbe Senior Medical

Data Engineer

$90K - $135K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business requirements and translate them into analytical solutions. Collaborate with the engineering team to ...

Wellbe Senior Medical

Senior Data Engineer

$105K - $150K/yr

Work closely with data scientists, business analysts, and stakeholders to understand business ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Oregon

Remote Data Science information

See Oregon salary details

$23.4K

$104.3K

$199K

How much do remote data science jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote data science in Oregon is $104,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,860.00 and $144,624.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Oregon? The most popular types of Data Science jobs in Oregon are:
What are popular job titles related to Remote Data Science jobs in Oregon? For Remote Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Oregon look for? The top searched job categories for Remote Data Science jobs in Oregon are:
What cities in Oregon are hiring for Remote Data Science jobs? Cities in Oregon with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Oregon as of June 2026, with employment types broken down into 2% As Needed, 72% Full Time, 22% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $104,269 per year, or $50.1 per hour.
Data Scientist (Vantage) - Clearance Required

Data Scientist (Vantage) - Clearance Required

Logistics Management Institute

On-site, Remote

Other

Posted 8 days ago

Job description

Overview

LMI is seeking a Data Scientist to assist with Army data model, pipeline, and visualization development. This Data Scientist will create data models working from mock visualizations and raw data inputs; leverage python, PySpark, Foundry, and code repositories to develop an architecture plan; extract, transform, and load data into Vantage; and use Vantage workshops to develop visualizations. Active Secret clearance required.

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities

Core Responsibilities:  

  • Data Engineering: Extract, transform, and load data using big data platforms like Palantir Foundry, loading data into data visualizations, transforming data using python and low code data pipeline building tools. 
  • Workflow Development: Build low-code no-code applications that allow end users to see real-time readiness dashboards. 
  • Data Integration: Automate and clean the ingestion of data from legacy systems so it's useful for decision-making. 
  • Predictive Analytics: Create models to forecast equipment failures, personnel shortages, or budget overruns. 
  • PI Planning: Help with feature writing, task decomposition, acceptance criteria, user stories, and processes for extracting dependencies from descriptive models. 
  • Ad-Hoc Reporting: Quickly answer critical information requirements by pulling data across different domains, ability to gather customer requirements and deliver a comprehensive statistical analysis to answer their questions.  

General Responsibilities: 

  • Support project management over data activities to ensure timely delivery in a reactive and agile environment. 
  • Engage technical and functional program SMEs, and key data stakeholders to understand business processes, analytical requirements, key data elements, data protection guidelines, etc. 
  • Define and develop techniques to integrate, consolidate, and structure data for analytical use. 
  • Create data pipelines in python, going from raw data to data products needed for visualization or other analytics products.  
  • Understand and analyze complex and organization-specific datasets. 
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools. 
  • Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields. 
  • Provide recommendations for improvements in data strategies to include changes to governance, stewardship, integration, and standardization. 
Qualifications

Qualifications:  

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred. Relevant experience considered in lieu of a degree. 
  • Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance. 
  • 10 years of experience with Python, and strong experience with PySpark or similar big data libraries. 
  • Knowledge of Army Vantage and data environment standardization. 
  • Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn). 
  • Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions 
  • Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js to communicate findings and relate them back to how insights create business impact 
  • Experience with data modeling, building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment. 
  • Strong background in DevOps and Software Engineering, including GitLab CI/CD, Infrastructure as Code, and implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest). 
  • Proven ability to design and scale Medallion Lakehouse Architectures, implement Data Mesh concepts, and utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana. 
  • Innovative problem solving and root cause identification skills. 
  • Superior communication skills, both oral and written. 
  • Able to work effectively at all levels of an organization. 
  • Must be a team player and able to work with and through others. 
  • Ability to influence and align others and move toward a common vision or goal. 
  • Federal government agency experience required 

Desired: 

  • Master's degree (preferred) in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline. 
  • Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS. 
  • Experience with Army Vantage  
  • Experience with efforts focused on understanding interdependencies of programs within an organization.  

Travel: Minimal, less than 10% 

Location: Hybrid; at least 3 days on client site in Crystal City VA or Aberdeen MD. Open to Remote

Target salary range: $111,426 - $150,000

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Employment Type: OTHER

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