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Remote Data Scientist Jobs in Springfield, OR (NOW HIRING)

Cramer Fish Sciences

Senior Biologist

Eugene, OR · On-site +1

$80K - $100K/yr

Cramer Fish Sciences (CFS) is seeking a Senior Biologist to join our Portland Oregon team. This ... Manage and analyze field and remote sensing data using GIS, R and other statistical packages.

All JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Springfield, OR

Remote Data Scientist information

See Springfield, OR salary details

$38.8K

$127K

$203.4K

How much do remote data scientist jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote data scientist in Springfield, OR is $127,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $140,800.00 per year, depending on experience, location, and employer.

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 efficient analysis.

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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

Is AI replacing 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 replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists are increasingly required to work alongside AI tools, leveraging skills in programming, statistics, and domain knowledge to develop and refine AI systems. The demand for data scientists remains strong as organizations seek to extract insights and create value from complex data sets.

Can I get a remote job as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, statistical analysis, and tools like Python or R, along with good communication abilities. Job seekers should review specific job descriptions to confirm remote work options and requirements.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals 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.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Springfield, OR? The most popular types of Data Scientist jobs in Springfield, OR are:
What are popular job titles related to Remote Data Scientist jobs in Springfield, OR? For Remote Data Scientist jobs in Springfield, OR, the most frequently searched job titles are:
What cities near Springfield, OR are hiring for Remote Data Scientist jobs? Cities near Springfield, OR with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Springfield, OR as of June 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,038 per year, or $61.1 per hour.
Seasonal Biological Technicians

Seasonal Biological Technicians

Cramer Fish Sciences

Eugene, OR • Remote

$37K - $44K/yr

Other

Retirement

Posted 16 days ago

Job description

Cramer Fish Sciences (CFS) is seeking Seasonal Biological Technicians in the Eugene/Albany Oregon area to support several current CFS projects in the Pacific Northwest. Primary work will include adult spring Chinook salmon spawning surveys in the upper Willamette Valley, stream habitat surveys and backpack electrofishing on remote headwater streams throughout Washington State, and bulk PIT tagging of juvenile Chinook salmon at hatcheries in the Willamette Valley. This position is primarily field-based and involves physically demanding fieldwork, frequent travel, and extended periods working outdoors in remote settings, with limited office time dedicated to data entry, QA/QC, equipment maintenance, and project preparation. Regular field rotations of 4–8 days away from home base are expected, including up to 5 consecutive nights camping in remote areas. Seasonal technicians will support three primary tasks:

  • Adult Spring Chinook Spawning Surveys: Conduct spawning ground surveys in tributaries and mainstem reaches upstream of Detroit, Cougar, and Green Peter reservoirs in the upper Willamette River basin. Surveys involve long days hiking and wading streams or floating rivers by kayak to enumerate live spawners and redds and to sample carcasses. Carcass sampling includes scanning for PIT tags and coded wire tags, recording standard biological measurements (fork length, sex, origin), and collecting tissue samples (otoliths, scales, and fin clips) for age and genetic analysis.
  • Stream Habitat Assessments and Electrofishing: Conduct electrofishing and habitat surveys on remote headwater streams in Washington State to identify the upstream extent of fish distribution and characterize associated habitat conditions.
  • Other CFS Projects: Depending on scheduling and project needs, technicians may assist with a variety of other ongoing CFS projects, which may include bulk PIT tagging of juvenile Chinook salmon at hatcheries in the Willamette Valley, snorkel surveys for juvenile salmonids, piscivore diet sampling, and Pacific lamprey trapping. Occasional night work may be required for some of these projects.

This is an excellent opportunity for early-career fisheries professionals to gain hands-on experience with a wide range of fisheries field sampling techniques.

Key Responsibilities:

  • Team Player: Work with crews of 2–3 individuals daily to conduct field tasks. Extended travel rotations and camping require strong interpersonal skills, mutual support, and effective communication among crew members.
  • Communication: Routine communication with supervisor and staff to ensure all requirements of the project are met and that project and personnel needs are addressed effectively and efficiently.
  • Field Work: This role requires long days in the field in rugged and remote terrain under variable weather conditions including heat, cold, and rain. Work involves extended hiking and kayak travel on rivers and streams, often in wildfire-prone landscapes and recently burned areas requiring situational awareness and strict adherence to field safety protocols. The position is physically and mentally demanding and requires resilience, sound judgment, and a positive attitude.
  • Fish Handling and Biological Sampling: Use safe handling techniques and best practices when handling adult and juvenile fish. Carcass sampling duties include scanning for PIT and coded wire tags, recording length, sex, and origin, and collecting otolith, scale, and fin clip samples. When assisting with juvenile tagging, technicians will measure, weigh, and implant PIT tags in large numbers of juvenile Chinook.
  • Data Collection and Management: Collect data following standard protocols with accuracy and precision. Will be responsible for accurate field data collection, data offloads, and data QA/QC.
  • Adaptability: Multiple CFS projects are occurring simultaneously across the Willamette Valley and Pacific Northwest in 2026. Successful candidates will be flexible and willing to shift between project tasks and work sites as needed to support overall program goals.

Education/Minimum Qualifications:

  • Bachelor's degree in Fisheries Science, Ecology, Environmental Science, or related field preferred.
  • Fish identification skills, safe fish handling, and biological data collection experience are essential.
  • Excellent communication skills, both with the crew and with supervisors and external stakeholders.
  • Proficiency in Microsoft Office 365.
  • Valid driver's license.
  • Ability to work long hours in all weather conditions and lift up to 50 lbs.
  • Comfort working and camping in remote environments without cell service for extended periods.
  • Ability to work well with others in physically demanding and sometimes stressful conditions.
  • A positive attitude.

Preferred Qualifications:

  • Experience with spawning ground surveys and carcass sampling.
  • Experience with PIT tagging and biological sampling of salmonids.
  • Swift Water Training or river kayaking experience (additional on the job training will be provided to all selected candidates)
  • Wilderness First Aid / CPR/First Aid certification
  • Experience with electrofishing, stream habitat assessments and snorkel surveys
  • Trailering skills.
  • Experience with data QA/QC.

Working Conditions and Physical Demands:

  • Must be able to fulfill the essential duties and responsibilities of this position.
  • Must be comfortable working in forests, rivers, streams, and remote backcountry environments for extended periods.
  • Must be able to work effectively and drive safely in inclement weather, including hot, cold, rain, fog, and smoky conditions.
  • Must be able to lift 50 pounds.
  • Flexible hours including some weekends and evenings; travel to remote areas with field rotations of up to 8 days away from home base and up to 5 consecutive nights camping.

COMPENSATION & BENEFITS: $21 to $24 per hour, depending upon experience. Paid sick leave with accruals starting on first day of employment and voluntary 401(k) eligibility for company plan

ABOUT CRAMER FISH SCIENCES: The mission of Cramer Fish Sciences is to provide quality, expert science which supports wise policy decisions and advances the field of natural resource management. We help clients in the Pacific Northwest and California find innovative and practical solutions to challenges with fisheries, riparian, and aquatic ecology.

AFFIRMATIVE ACTION: Cramer Fish Sciences is an Affirmative Action/Equal Opportunity Employer: All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.

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