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

Amy Cell Talent

Sr. Technical Consultant

Portland, OR · On-site +1

SSH and remote access tooling to manage and diagnose infrastructure in hybrid and cloud ... Data, Integrations & APIs * REST and GraphQL APIs - interacting with platforms, extracting and ...

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Remote Data Science information

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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
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:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Managing Senior Director of Prospect Development

Oregon Health & Science University Foundation

Portland, OR • On-site, Remote

$126K - $168K/yr

Other

Posted 28 days ago

Job description

Priority Application Deadline

July 10, 2026

FLSA Status

Exempt

Starting Salary

$126,831 - $168,508 (Step I - Step II)

*More information about salary structure below

Work Location

Remote or Hybrid

*Note: remote candidates from states outside of Oregon may need to be employed through a Professional Employer Organization 

About the Position

The Managing Senior Director of Prospect Development is a strategic leader who sets the vision for an integrated prospect development program-encompassing prospect identification, research, and prospect management- ensuring alignment with campaign and institutional goals. The role champions a culture of data integrity, portfolio health, and continuous improvement, enabling fundraisers to effectively qualify, prioritize, and engage highcapacity prospects. The Senior Director is responsible for building, leading, and advocating for a highperforming, industryleading prospect development team that drives fundraising excellence.

This role also serves as a key partner to Advancement leadership, including the President's Office and Transformational/Principal Gifts teams, delivering actionable intelligence, portfolio strategy, and data-driven insights to advance the Foundation's most critical philanthropic priorities.

What You'll Be Doing

Direct Prospect Identification Research, and Prospect Management, Functions

  • Serve as the primary strategic advisor on prospect development to senior leadership, including the President's Office and Transformational Gifts function, ensuring alignment of prospect strategy with top institutional priorities
  • Oversee the development and health of prospect portfolios, ensuring appropriate segmentation, assignment, movement, and balance aligned with fundraising capacity and strategy
  • Lead Foundation-wide prospect identification strategy, including principal, transformational, and grateful patient pipelines
  • Provide oversight of high-integrity data supporting prospect identification, portfolio management and tracking, due diligence, feasibility studies, fundraising priorities, and grateful patient and family pipeline development
  • Establish and enforce data integrity standards across prospect records, research outputs, and portfolio data to support accurate reporting and decision making.
  • Develops and implements policies and standards for Prospect Development that drive strategic insight and support gift development at all levels.
  • Direct and continuously refine grateful patient prospect identification strategies, leveraging HIPAA compliant clinical data, screening, and partnerships with healthcare stakeholders
  • In partnership with Data Solutions & Insights, deliver forward-looking analytics, modeling and scenario planning to help identify the best prospects for the foundation and to guide campaign strategy and leadership decision making.
  • Supervise the development and execution of prospect identification plans, including electronic screening, data enhancements, and proactive media review
  • Provide leadership in prospect lifecycle management, including identification, assignment, movement, and clearance processes.
  • Review and evaluate new tools and vendors in Prospect Development

Leadership of Prospect Development Team

  • Build, lead, and advocate for a high-performing, collaborative, and innovative Prospect Development team recognized as industry experts
  • Establish a team culture centered on strategic partnership, accountability, continuous learning, and service excellence
  • Recruit, coach, and develop staff to function as trusted advisors to fundraisers and leadership, rather than transactional support 
  • Establish clear expectations tied to portfolio health, prospect identification, and strategic impact
  • Create professional development pathways that position staff as leaders in prospect research, analytics, and prospect management disciplines
  • Actively represent and elevate the Prospect Development function across the organization, ensuring appropriate understanding of its strategic value and influence  
  • Lead change management efforts related to process improvements, new tools, and evolving industry practices   

Liaise with President's Office & Transformational Giving

  • Partner closely with the President's Office and senior advancement leadership on transformation and principal gift research and strategy, portfolio design, and pipeline development
  • Lead campaign prospect strategy, including identification of lead prospects and development of robust pipelines aligned with institutional priorities
  • Oversee campaign data infrastructure with a focus on accuracy, transparency, and insight into pipeline strength and gaps
Who You Are
  • Demonstrated ability to set vision and lead strategic prospect development program spanning prospect identification, research, and prospect management.
  • Deep knowledge of prospect lifecycle management, including identification, qualification, assignment, movement, and clearance processes.
  • Superior competencies with business and financial sources; ability to retrieve, organize and analyze complex information
  • Demonstrated understanding of prospect rating and wealth analysis
  • Ability to understand and effectively manage complex issues in a multi-tiered, academic medical institution
  • Exceptional ability to influence without authority and build partnerships with senior leaders, physicians, trustees, and fundraising teams.
  • Excellent written and verbal communication skills with the ability to translate complex information into actionable insights
  • Strong team-building and people management skills; capable of setting priorities, mentoring staff, and fostering a positive, inclusive, and accountable work environment
  • Culturally responsive; ability to engage effectively with diverse stakeholders
You Should Have

Required Qualifications

  • 10+ years of progressively responsible experience in prospect development, prospect research, analytics, or related strategic functions within higher education, healthcare fundraising, nonprofit, or similar environments. Demonstrated success in building and leading high-performing prospect development teams
  • Significant experience leading or shaping prospect management strategy and portfolio optimization at scale.
  • Demonstrated experience supporting principal and transformational gift initiatives and advising senior leadership.
  • Strong experience working with complex relational databases and fundraising CRMs.
  • Hands-on expertise using prospect screening tools and research platforms (e.g., iWave, DonorSearch, LexisNexis).
  • Proven success in developing, mentoring, and retaining high-performing teams.
  • Experience establishing or leading data governance and data integrity initiatives.
  • Experience collaborating with data analytics or business intelligence teams to deliver insights and modeling.

Preferred Qualifications

  • Proficient skills in Microsoft Word, Excel, Outlook and PowerPoint; advanced skills preferred
  • Experience working in a relational database (Kindsight AdvancementRM, Salesforce, or other complex fundraising CRM preferred)

We want to emphasize that there is no such thing as the perfect candidate; candidates who do not have all of the required experience are encouraged to apply. 

Working Conditions
  • Occasional hours outside of normal work hours for meetings or programs
  • Prolonged use of a computer

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