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

... technical/scientific data to diverse audiences. * Cross-Functional Collaboration: Coordinate ... Remote work with the opportunity to travel 60% of the time * Training opportunities * Learning and ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Remote Data Science information

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.

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 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 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.

Can I work remotely 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, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are the most commonly searched types of Data Science jobs in Portland, OR?

The most popular types of Data Science jobs in Portland, OR are:

What are popular job titles related to Remote Data Science jobs in Portland, OR?

For Remote Data Science jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Portland, OR look for?

The top searched job categories for Remote Data Science jobs in Portland, OR are:

What cities near Portland, OR are hiring for Remote Data Science jobs?

Cities near Portland, OR with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst - Class Action Defense

Davis Wright Tremaine LLP

Portland, OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Davis Wright Tremaine rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

This is an exciting opportunity to work for one of the top law firms in the U.S.! Davis Wright Tremaine LLP is looking for a Data Analyst to join our team in our Seattle, Portland, Los Angeles, or San Francisco offices.

This position offers the flexibility to be fully remote while working within reasonable commuting distance from any of our offices.

This position is responsible for supporting a dynamic and growing class-action defense practice. The data analyst will play a pivotal role in managing, analyzing, and visualizing data for complex matters, including wage and hour disputes, pay equity cases, and class-action litigation. The ideal candidate will thrive in a collaborative, fast-paced environment and demonstrate outstanding technical, analytical, and communication skills to streamline class-action litigation support processes and deliver exceptional client service.

At Davis Wright Tremaine, you will find challenging assignments, opportunities for professional growth and community involvement, and a culture of inclusion. DWT fosters inclusiveness and authenticity. Regardless of position, everyone here has a voice and the support is unparalleled.

On a typical day you will:

Data Management & Analytics

  • Partner with attorneys and clients to evaluate data needs, develop analysis strategies, and deliver clear and actionable insights.
  • Obtain, structure, and manage raw datasets from various sources, including payroll, timekeeping, and HRIS.
  • Analyze and evaluate data using advanced tools and reporting platforms to create pivot tables, charts, and intuitive visual dashboards.
  • Perform advanced data analytics to generate deliverables such as exposure analyses, pay equity audits, affirmative action plans, and class lists.
  • Design exposure analysis reports to identify key case strengths, risks, and potential settlement strategies.
  • Organize data workflows for wage and hour analyses, enabling efficient and accurate review across multiple data sets and record formats.

Collaboration & Communication

  • Work with multidisciplinary teams, including attorneys, clients, expert witnesses, and opposing counsel, to guide data-related discussions.
  • Collaborate with IT, eDiscovery, and Practice Support teams to ensure secure, compliant handling of sensitive data throughout the case lifecycle.
  • Communicate findings effectively to attorneys, clients, and other stakeholders through written reports, visual presentations, and face-to-face briefings.

Technology Strategy & Support

  • Evaluate and recommend new technologies, tools, and methodologies for data analysis, visualization, and reporting for litigation support.
  • Leverage software such as Excel, Tableau, Power BI, SQL,or similar tools to deliver dynamic and interactive visualizations of crucial metrics.
  • Collaborate with staff in analytics roles to provide support and seamless backup coordination.

Class-Action Specific Support

  • Assist with analysis of potential CAFA removal.
  • Prepare putative class lists, perform random sampling analyses, and other tasks in support of class opposition processes.
  • Develop and run pay equity and EEO analyses to ensure compliance with regulatory standards and best practices.
  • Coordinate with expert witnesses to create polished and effective exposure models for case development and litigation defense strategy.
  • Generate detailed reports to support complex class-action claims, highlighting key trends and patterns in the data.

Trial & Litigation Preparation

  • Support attorneys during motion practice, depositions, and trial preparation with clear, accurate data summaries and visual exhibits.
  • Assist in reviewing data-related findings in expert reports, ensuring alignment with case objectives and litigation strategies.

Join us if you have:

  • 4+ years of professional experience as a Data Analyst, with a proven track record in complex data analysis and reporting, preferably in employment class action litigation or related fields.
  • Master's or Bachelor's degree in statistics, data analytics, or a related field.
  • Technical Proficiency:
    • Advanced Excel skills, including pivot tables, macros, and advanced formulas.
    • Experience with Tableau, Power BI, SQL,or similar platforms for data visualization and analysis.
    • Familiarity with HRIS, payroll systems (e.g., ADP, UKG), and wage and hour analysis.
  • Excellent verbal and written communication skills with the ability to adapt technical findings for non-technical audiences.
  • Advanced proficiency in the use of Microsoft Office applications (i.e., Word, Excel, PowerPoint, and Outlook) for drafting and editing complex documents and spreadsheets.
  • Exceptional problem-solving, analytical skills, and attention to detail, with a demonstrated ability to meet tight deadlines.
  • Familiarity with employment law, including wage and hour standards (especially in California), pay equity laws, and EEO compliance are strongly preferred.
  • Ability to design and deliver exposure models and visual insights for effective case strategy.
  • Strong organizational skills and ability to multitask effectively in a fast-paced environment.
  • Willingness and availability to work flexible hours, including evenings or weekends, to meet litigation deadlines.
  • Previous experience in a law firm or professional services setting supporting multiple offices strongly preferred.

Who We Are

Davis Wright Tremaine LLP is an AmLaw 100 law firm with 9 offices nationwide. We are relentlessly committed to client service and look for candidates who share that commitment. At DWT, client service means having empathy for each client's and each lawyer's work and personal pressures, business objectives, and legal needs; anticipating their needs; and having the capabilities and commitment to deliver what matters most to them.

What's in it For You?

DWT offers competitive compensation in addition to ample benefits including but not limited to:

  • Choice of health and vision insurance plans
  • 2 paid volunteer days for qualifying community service work
  • Dental plan
  • Fertility and adoption benefit
  • Paid sabbatical after 13 years of service
  • Tuition reimbursement
  • Commuter benefits
  • Retirement contribution

This job description intends to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to include all duties and responsibilities.

Washington State

The annualized salary range for this position in Washington is $121,000 to $145,000 ($62.05 to $74.36 hourly).Actual pay will be adjusted based on the candidate's education, training, experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, 11 paid holidays each year and an employee assistance program. For full-time employees, the initial vacation benefit is 15 days per year and 11 days of sick leave per year, accrued bi-weekly. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.

California

The annualized salary range for this position in Los Angeles is $120,000 to $146,000 ($61.54 to $74.87 hourly); and in San Francisco is $138,000 to $165,000 ($70.77 to $84.62 hourly). Actual pay will be adjusted based on experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.

Davis Wright Tremaine LLP fosters a culture where all talented individuals-including those who are traditionally underrepresented in the legal profession-can have, and can see, paths to success.Our commitment to diversity, equity, and inclusion sits on four pillars: Community, Growth, Education, and Engagement.Learn more about the firm's commitment to DEI here:www.dwt.com/dei.

Davis Wright Tremaine provides reasonable accommodations for those who need them to complete the application or recruiting process and for employees who need reasonable accommodations to perform the essential functions of their positions due to a disability or for religious reasons. If you need to request accommodation during the application or recruiting process, please emailhumanresources_confidential@dwt.com.

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Employment Type: Full-Time

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