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Remote Data Science Jobs in Oregon (NOW HIRING)

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 ...

IQVIA

Lead Clinical Data Manager (Remote)

Portland, OR · Remote

$68K - $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 ...

IQVIA

Lead Clinical Data Manager (Remote)

Portland, OR · Remote

$68K - $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 ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... Data Science * Forward Deployed Engineers * ServiceNow platform teams to deliver production-ready ...

BECU

Director, Data Engineering

OR · On-site +1

$155K - $288K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Partner with Data Science, Analytics, and business teams to align priorities and unlock the full ...

Instacart

Senior Product Manager, Shopping Experience

OR · Remote

$126K - $166K/yr

You'll partner closely with design, research, engineering, data science, and go-to-market teams to ... We're a remote-friendly, fast-moving team that values clear communication, ownership, and ...

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 ...

NV5

Remote Sensing Technician

Alternatively, the RST will be collecting ground data using GNSS survey tools, water monitoring ... science, engineering program or related field * Aviation Background * Ground Survey Background

Upstart

Principal Product Analyst

OR · On-site +1

Minimum Qualifications * 10+ years of professional experience in product analytics, data science ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

Care Access

Senior Data Engineer

OR · Remote

$120K - $160K/yr

Work cross-functionally with analysts, data scientists, software engineers, and business ... This is a remote position with less than 10% travel requirements. Occasional planned travel may be ...

Tebra

Senior Data Engineer

OR · Remote

$105K - $143K/yr

... data science teams. * Advanced proficiency in Python and SQL. You are comfortable writing ... Remote

Care Access

Enterprise Performance Analytics Engineer

OR · Remote

$80K - $110K/yr

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

HealthEquity

Director, AI Enablement

$144K - $191K/yr

Partner handson with data science, engineering, product, and operations teams to shape AI use cases ... Wellness program incentives Onboarding & Travel This is a remote role, with an in-person onboarding ...

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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.
Principal Data Engineer

Principal Data Engineer

Cornerstone

Remote

Other

Posted 11 days ago

Job description

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that power insight-driven decision-making across the enterprise. This role is ideal for someone who combines deep technical expertise in modern data platforms with the ability to translate complex data concepts into clear, actionable insights for non-technical stakeholders.

You will partner closely with Sales, Marketing, Customer Success, and Product teams to design, build, and optimize data models and pipelines that support reporting, analytics, and self-service data access.

In this role, you will:

  • Lead data initiatives across business functions (Sales, Marketing, Revenue Operations, Customer Success & Support) by delivering clear, actionable insights and strong data storytelling.
  • Design, build, and maintain scalable data pipelines and transformations using Snowflake and dbt.
  • Develop and manage dimensional data models and curated data marts to support analytics and reporting.
  • Write efficient, scalable SQL to transform and analyze large datasets.
  • Partner with business stakeholders to translate requirements into data models and solutions that drive decision-making.
  • Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.
  • Ensure high standards for data quality, governance, and reliability.
  • Support and enable self-service analytics through well-structured, documented data assets.
  • Mentor team members and promote best practices in data engineering and modeling.

You have what it takes if you have:

  • 10+ years of experience in data engineering, analytics, or BI in an enterprise environment.
  • Strong expertise in Snowflake, including building data pipelines and optimized data structures.
  • Hands-on experience with dbt for data transformation and modeling.
  • Deep understanding of data warehousing principles, including dimensional modeling (star/snowflake schemas).
  • Advanced SQL skills for large-scale data transformation and analysis.
  • Experience working with data lakes and modern data platforms.
  • Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required.
  • Excellent communication skills, with the ability to explain technical concepts to business stakeholders.
  • Proven ability to partner cross-functionally and deliver business-impacting data solutions.

An extra dose of awesome if...

  • Experience working in AWS or multi-cloud environments.
  • Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion).
  • Experience supporting Tableau or similar BI tools.
  • Background supporting CRM / GTM systems (e.g., Salesforce, Marketo, Gainsight).

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