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

Binance.US

Senior Data Scientist, RIsk

Vancouver, WA · Remote

The Senior Data Scientist - Risk is part of the Data & Analytics team and reports to our Director ... Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Honor

Staff Data Scientist

Portland, OR · Remote

About the role: We're looking for Data Scientists to join our team. In this role, you will serve as ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

IQVIA

Senior Data Team Lead (Remote)

Portland, OR · Remote

$86K - $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

Senior Data Team Lead (Remote)

Portland, OR · Remote

$86K - $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 ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Portland, OR

Remote Data Scientist information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

How much do remote data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote data scientist in Portland, OR is $130,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $144,200.00 per year, depending on experience, location, and employer.

What key skills and qualifications are 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 does a remote data scientist do?

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.

What is a remote data scientist?

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.

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 Portland, OR? The most popular types of Data Scientist jobs in Portland, OR are:
What are popular job titles related to Remote Data Scientist jobs in Portland, OR? For Remote Data Scientist jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist jobs in Portland, OR look for? The top searched job categories for Remote Data Scientist jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Data Scientist jobs? Cities near Portland, OR with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Portland, OR as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $130,165 per year, or $62.6 per hour.

Senior Data Scientist, RIsk

Binance.US

Vancouver, WA • Remote

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Job description

About Binance.US: 

Binance.US is a licensed and regulated U.S. cryptocurrency exchange where users can buy, trade, hold, and earn digital assets. Recognized as a top U.S. crypto platform by Forbes (Best Crypto Exchanges of 2026) and Business Insider (Best Crypto Exchanges of 2025), Binance.US leads the industry with its low fees, advanced trading engine, strong security and reliability, and robust compliance framework. Learn more at www.binance.us. All roles supporting Binance.US are employed via BAM Management US Holdings Inc. or BAM Management Canada Holdings Inc.

About This Role:

The Senior Data Scientist - Risk is part of the Data & Analytics team and reports to our Director of Product Analytics. As Senior Data Scientist - Risk, you will be responsible for development of advanced risk models to combat financial crimes and safeguard user funds. As project priorities evolve, you will have the opportunity to collaborate across different teams, including Risk, Compliance, Marketing, and Product, to drive data-driven insights and solutions that contribute to the growth and safety of the platform.

Core Responsibilities:

  • Build ML Based Fraud and Risk models to reduce risk related loss and increase pass rate.

  • Develop and foster a rigorous data-driven culture within the Risk & Compliance teams.

  • Design and analyze A/B experiments to evaluate the impact of changes and the risk models deployed.

  • Create new risk signals that would result in detecting fraud, transaction monitoring and identifying malicious trading activity.

  • Define, measure and consistently improve all essential monitoring metrics for the Risk & Compliance.

  • Provide technical leadership to the rest of the Risk & Compliance teams.

  • Design and build tools for the Risk team that help to automate processes and facilitate smart decision making.

  • Conducting ad-hoc analysis to identify and mitigate risk and fraud.

  • Collaborate with other teams like product to ensure swift implementation of risk modules.

  • Upon the completion of key Risk-related initiatives, collaborate across teams, including Marketing, and Product, to tackle a variety of high-impact projects, addressing business needs and priorities as they evolve.

Preferred Skills/Experience:

  • 6+ years in Data Science/Analytics and 3+ years prior experience in Financial Risk.

  • Proficient with SQL and expertise with R or Python.

  • Experience in building ML based Fraud and Risk models.

  • Experience in designing and developing compelling data visualizations and dashboards.

  • Excellent understanding of Risk Analytics and Fraud Models.

  • Ability to translate complex data into actionable insights for a non-technical audience.

  • Experience in a high-growth tech environment.

  • A deep understanding of statistical concepts.

  • Prior experience at a fintech company is a plus.

Salary:

The starting pay range for this role will vary, and is dependent upon many factors, such as transferable skill sets, work experience, business needs, and market demands. The base pay range is subject to change.

Our Mission:
At Binance.US, our mission is to create a more inclusive financial system through Web3 technologies. As a U.S. regulated crypto platform, we’re committed to earning trust through compliance and empowering people to do more with their money, bringing financial freedom within reach for all.

Our Values:
Our values shape how we work, make decisions, and support our users every day:

  • Act with Integrity: We do what’s right, even when no one is watching.

  • Be Collaborative: We work together with respect and transparency to achieve shared goals.

  • Customers First: We listen to, advocate for, and prioritize our users in every decision we make.

  • Do the Work: We take ownership, follow through, and deliver results that move the mission forward.

  • Embrace Change: We stay adaptable and curious, thriving in a fast moving industry.

Our Benefits:

We believe in supporting our people with flexibility, balance, and opportunities to grow. One of the ways we demonstrate this commitment is through our benefit offerings.

  • Time & Family: Unlimited PTO (for salaried FTE roles); 12 weeks fully paid Parental Bonding Leave.

  • Well-Being: Mental wellness benefits; free 1:1 virtual visits with a licensed mental wellness professional; comprehensive competitive health benefits.

  • Remote-First Culture: Fully remote, cameras-on culture with work-from-home equipment reimbursements available to new hires.

  • Professional & Financial Growth: Annual professional development budget; free 1:1 virtual visits with a career coach; 401k plan with employer match.

BAM Management US Holdings Inc. and BAM Management Canada Holdings Inc. are Equal Opportunity Employers and comply with all applicable federal, state, and local fair employment practice laws. Our mission is to give our customers access to a broad array of digital assets, and we thrive because of the diverse and inclusive team that we are building. We do not discriminate against qualified employees, applicants, or any other covered persons because of race, color, religion, creed, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, veteran status, physical disability, mental disability, medical condition, military status, or any other applicable legally protected characteristic.

Depending on your location, data privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required.

We comply with Federal Transparency in Coverage regulations by providing a link to machine readable files related to the health plans offered to our employees. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data including negotiated service rates, and out-of-network allowed amounts between health plans and healthcare providers.

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