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Data Science Manager Remote Jobs in Portland, OR

Regional Human Resources Manager

Portland, OR · Remote

$82K - $113K/yr

Regional HR Manager (Remote) - Oregon About us You can find Arclin everywhere. Our technologies ... Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ...

Senior Product Marketing Manager (Remote)

Portland, OR · Remote

$123K - $162K/yr

Senior Product Marketing Manager Reports To: VP of Marketing Position Overview The Senior Product ... Use field feedback and performance data to continuously refine enablement programs and improve ...

Regional Human Resources Manager

Portland, OR · Remote

$82K - $113K/yr

Regional HR Manager (Remote) - Oregon About us You can find Arclin everywhere. Our technologies ... Rooted in scientific discovery and innovation, Arclin's materials redefine performance across ...

The MSL is critical in understanding the management of diseases of interest, mapping the patient ... data gaps and gathering and sharing insights to enhance patient care * The MSL will identify ...

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 ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

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 Aug 17, 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 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?

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 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:

Senior Technical Product Manager

Absci Corporation

Vancouver, WA • On-site, Remote

$145K - $180K/yr

Full-time

Medical, Dental, Vision

Posted 5 days ago


Job description

About Absci
Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets.
Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at www.absci.com or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube.
Senior Technical Product Manager (AI Research & Development)
Remote within the United States. Hybrid work available in Vancouver, WA; New York City, NY.
We are currently seeking a Senior Technical Product Manager to join our AI Research and Development team. You will be responsible for developing and executing on the vision, strategy, and deployment of both AI and Lab Products at Absci. You will drive small, interdisciplinary teams of Artificial Intelligence (AI) and Machine Learning (ML) Researchers, Software Engineers, Structural Biologists, and Screening Scientists to build delivery platforms that allow us to design, optimize, and validate biologics for treating conditions like cancer, autoimmune diseases, and infectious diseases. You will serve as a bridge between our AI Research and Biologics Discovery Technology teams, leading initiatives surrounding the development and/or application in one of two key areas:
AI-Guided Target Identification: An AI platform that leverages genetic-based evidence to discover novel target-indication pairs and de-risk in vivo or ex vivo pathway validation.
AI-Guided Drug Design: A platform that uses generative AI to design and optimize antibody-based drugs to grow Absci's internal pipeline and deliver on external partnerships.
Responsibilities:
  • Gather and synthesize product requirements from AI, Engineering, and Wet Lab Scientists and Business Development teams, then drive alignment with leadership for actionable product strategy
  • Own product roadmaps with decisive precision and bias for action; make trade-off decisions between competing priorities and risk
  • Partner with managers and technical leads with diverse backgrounds and areas of expertise to establish a cohesive product vision
  • Build detailed roadmaps, backlogs, and execution plans for assigned domain; partner with management to define OKRs and KPIs; track performance and adjust strategy based on data
  • Lead cross-functional teams through product initiatives from conception through deployment and optimization, proactively identifying and removing any blockers
  • Conduct research with product team and potential users to understand needs, pain points, and opportunities
  • Drive adoption and successful deployment of products within internal programs and external partnerships

Qualifications:
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Engineering, Life Sciences, or related field
  • At least 5 years of professional experience working on production-grade software or technical products development
  • 3+ years of working or educational experience in AI/ML and/or Protein Engineering
  • Strong technical knowledge to enable effective collaboration with world-class engineers and scientists
  • Proven track record of creating and executing on product roadmaps to deliver high-impact work
  • Demonstrated ability to manage complex stakeholder relationships across diverse teams
  • Excellent written and oral communication skills; ability to explain complex technical and business concepts
  • Excellent organizational skills and ability to manage multiple competing priorities
  • Comfortable working in a fast-paced environment with autonomy, accountability, and bias for action

Preferred (but not required):
  • Masters or PhD degree in relevant field
  • Experience in the Biotech or Pharmaceutical Industries
  • Experience with generative AI (GenAI), NLP, or computer vision, large language models (LLMs), or protein language models
  • Experience with MLOps tools such as Weights & Biases
  • Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology, structural biology, antibody engineering, or related fields
  • Experience with NGS, SPR, or Flow Cytometry data
  • Experience as an agile coach, product owner, or Scrum Master

The salary range for US-based employees in this position is $145,000 - $180,000/year. Competitive equity package applies. Pay offered may vary depending on job-related knowledge, skills, and experience. In addition to equity, compensation packages include a wide range of medical, dental, vision benefits and ability to participate in our employee stock purchase plan.
Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which they have applied should make a request to the recruiter or hiring manager, or contact hiring@absci.com.