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Data Science Manager Remote Jobs in Portland, OR

... data,productsand trials, andis responsible forengagement with Key Opinion Leaders at academic and ... The MSL is critical in understanding the management of diseases of interest, mapping the patient ...

Earth Science Tutor

Portland, OR · Remote

$18 - $40/hr

... management. * Curriculum Awareness & Adaptive Instruction: Familiar with earth science curricula ... Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ...

... 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 ...

Showing results 21-40

Data Science Manager Remote information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data science manager remote jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data science manager remote in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Portland, OR? For Data Science Manager Remote jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Portland, OR look for? The top searched job categories for Data Science Manager Remote jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Science Manager Remote jobs? Cities near Portland, OR with the most Data Science Manager Remote job openings:
Director of Product - Enterprise Data & Analytics

Director of Product - Enterprise Data & Analytics

StanCorp Financial Group, Inc.

Portland, OR • On-site, Remote

$247K - $258K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

The next part of your journey is right around the corner - with The Standard.
A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams, we've been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture focused on operational excellence thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?
Job Summary
The Director of Product - Enterprise Data Analytics leads the strategy, development, and ongoing success of enterprise data and analytics products. This role combines strategic product leadership with the development of high-performing global teams, including Product Managers, Product Owners, Product Analysts, and Scrum Masters.
Working closely with business, technology, and data leaders, the Director defines product vision, establishes priorities, and delivers trusted, scalable data and analytics capabilities that improve decision-making and business outcomes. This leader is responsible for ensuring product roadmaps are aligned with business objectives, informed by customer needs, and grounded in technical feasibility.
This leader will have experience in building and managing enterprise data product organizations that focus on: Product Leadership, Strategy, and Delivery - Lead, coach, and develop global product teams while fostering a culture of collaboration, accountability, customer focus, and continuous improvement. Own the vision, strategy, roadmap, and delivery of enterprise data and analytics products, including the adoption and maturation of data-as-a-product practices. Drive product discovery, prioritization, and execution to ensure products are scalable, secure, governed, and deliver measurable business outcomes aligned to enterprise objectives.
Key Responsibilities:
Enterprise Data Product Portfolio Management - Serve as the steward of a portfolio of enterprise data products spanning analytical, and transactional products, Lead investment prioritization, and product lifecycle management. Establish product performance measures and continuously evaluate adoption, quality, business impact, and customer outcomes.
Stakeholder Engagement and Cross-Functional Collaboration - Build strong partnerships across business, data, and technology organizations to align product strategy with enterprise priorities. Communicate product vision, roadmap, priorities, and results to stakeholders and executive leadership. Partner closely with governance, architecture, engineering, security, and data management leaders to ensure data products are trusted, discoverable, secure, compliant, and well governed, while driving adoption and incorporating stakeholder feedback into future data product decisions.
Technical and Data Platform Leadership - Bring sufficient depth in modern data and analytics platforms, data engineering, APIs, event-driven architectures, and AI-enabled data capabilities to effectively partner with engineering and architecture leaders. Guide strategic decisions related to enterprise data platforms and data product design ensuring solutions are technically sound, scalable, and aligned with long-term enterprise architecture and business strategy.
Skills and Background You'll Need
Education: A High School Diploma or GED is required. A Bachelor's or Master's degree in Computer Science, Product Management, Data Science, Analytics, Engineering, Business Administration, or relevant field is preferred.
Experience: 12+ years of progressive technology leadership experience, including 7+ years in senior management roles leading product portfolios and teams.
  • Proven success in designing and building advanced analytics products at scale. Ownership of enterprise data products and data as a product practice.
  • Ability to communicate clearly and concisely on complex technical topics, verbally and visually, across all levels of the organization.
  • Experience with scaled Agile delivery, Scrum, and portfolio-grade agile frameworks.
  • Hands-on experience with the following is preferred: Jira, Databricks/lake house platforms. Cloud data platforms (Azure), lake house architecture, enterprise data platforms, data storage, data pipelines, data orchestration, data integration, software engineering practices, data assets, understanding of analytical products & transactional products, APIs, event-driven architecture, AI enabled data capabilities, GenAI enablement.
  • Preferred certifications: PMP, Lean Six Sigma or equivalent.

Key Behaviors of a Successful Candidate
  • Strategic Visioning: Connects business priorities to long-term outcomes and helps leaders focus on the highest-value opportunities.
  • Engaging Hearts & Minds: Builds alignment across leaders, teams, and stakeholders while fostering collaboration and commitment.
  • Developing People: Effectively coaches and develops talent while building high-performing teams.

#LI-Remote
Why Join The Standard?
We have built an enduring legacy of stability, financial strength and exceptional customer service through the contributions of the service-oriented people who choose to work at The Standard. To ensure we can attract and retain the best talent, when you join The Standard you can expect:
  • A rich benefits package including medical, dental, vision and a 401(k) plan with matching company contributions
  • An annual incentive bonus plan
  • Generous paid time off including 11 holidays, 2 wellness days, and 8 volunteer hours annually - PTO increases with tenure
  • A supportive, responsive management approach and opportunities for career growth and advancement
  • Paid parental leave and adoption/surrogacy assistance
  • An employee giving program that double matches your donations to eligible nonprofits and schools

In addition to the competitive salary range below, our employee-focused benefits support work-life balance. Learn more about working at The Standard.
  • Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance.

The actual compensation for this role will be based on a combination of education and experience, knowledge and skills, position budget, internal equity, and market data.
Salary Range:
$122,250.00 - $232,750.00
Positions will be posted for at least 5 days from original posting date.
Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement Services, Inc., StanCorp Mortgage Investors, LLC, StanCorp Investment Advisers, Inc., and American Heritage Life Insurance Company and American Heritage Service Company, marketed as The Standard, are Affirmative Action/Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, national origin, gender identity, sexual orientation, age, disability or veteran status or any other condition protected by federal, state or local law. Except where precluded by state or federal law, The Standard will consider for employment qualified applicants with arrest and conviction records pursuant to the San Francisco Fair Chance Ordinance. The Standard offers a drug- and alcohol-free work environment where possession, manufacture, transfer, offer, use of or being impaired by an illegal substance while on The Standard's property, or in other cases which the company believes might affect operations, safety or reputation of the company is prohibited. The Standard requires a criminal background investigation and employment, education and licensing verification as a condition of employment. After any conditional offer of employment is made, the background check will include an individualized assessment based on the applicant's specific record and the duties and requirements of the specific job. Applicants will be provided an opportunity to explain and correct background information. All employees of The Standard must be bondable.