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

micro1 AI

Cheminformatics Specialist - Remote

Gresham, OR · On-site +1

$90 - $120/hr

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

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All JobsMeta Data Science JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Portland, OR

Remote Meta Data Science information

See Portland, OR salary details

$39.8K

$130.2K

$208.4K

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

As of Aug 21, 2026, the average yearly pay for remote meta data science 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 is a remote meta data scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

How does a remote meta data science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What are the key skills and qualifications needed to thrive as a remote meta data scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.

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

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

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

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

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

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

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

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

Remote Meta Data Science jobs near you

Coordinator, Digital Advertising

Da Francesco's

Portland, OR • Remote

Full-time

Re-posted 20 days ago

Job description

Catalyst IQis adigital marketing and technology leader formed by uniting Advance Automotive's top brands-Adpearance, Fox Dealer, Search Optics, and ZeroSum. We empower automotive dealers and manufacturers to grow with precision and profitability through smarter, faster, and more comprehensive solutions. As a part of Advance Local and built on a foundation of over a decade of proprietary technology development, 23 billion data points, 22 OEM certifications, and a national sales force, Catalyst IQ combinescutting-edgeinnovation with humanexpertiseto deliver real-time insights and actionable intelligence that accelerate sales.

The next generation of business leaders won't just understand technology-they'll know how to use AI, data, and automation to solve real-world problems. At Catalyst IQ, we're looking for recent graduates who want to be on the front lines of that transformation.

Catalyst IQ is hiringaDigital Advertising Coordinator

Remote- Based position

The Digital Advertising Coordinator (AI-Fluent) supports the development, execution, and optimization of digital advertising campaigns while leveraging AI tools and automation to improve efficiency, analysis, and performance.

This is an entry-level role designed for someone early in their career who is excited about digital marketing, technology, and problem-solving. We're looking for a curious, analytical, and adaptable individual who embraces AI as a tool for learning, productivity, and innovation. The ideal candidate is eager to develop expertise in digital advertising while finding creative ways to use AI to streamline work, uncover insights, and drive better results.

Success in this role comes from a willingness to learn, strong attention to detail, analytical thinking, and a passion for continuously improving how work gets done.

Responsibilities

  • Assist in the creation, management, and optimization of digital advertising campaigns across Google, Microsoft, Meta, and other advertising platforms.
  • Monitor campaign performance and support optimization efforts through data analysis and research.
  • Utilize AI tools to assist with reporting, research, content development, campaign management, and process improvement.
  • Identify opportunities to improve efficiency by leveraging AI and automation within daily workflows.
  • Analyze campaign and performance data to identify trends, opportunities, and actionable insights.
  • Support the development of reports, dashboards, and performance summaries for internal teams and clients.
  • Collaborate with team members to execute digital marketing strategies and client initiatives.
  • Contribute to the maintenance and improvement of internal tools, documentation, and operational processes.
  • Stay current on digital advertising trends, platform updates, and emerging AI technologies.
  • Demonstrate a proactive approach to learning new technologies, tools, and best practices.

Qualifications

Knowledge, Skills, Abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word.
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, Copilot, or similar platforms.
  • Interest in using AI to improve productivity, automate tasks, analyze information, and solve business problems.
  • Strong analytical and problem-solving skills.
  • Comfortable working with data, numbers, and performance metrics.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and commitment to accuracy.
  • Curiosity and a desire to continuously learn and improve.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Self-starter with a positive attitude and growth mindset.

Education and Experience

  • Bachelor's degree in Marketing, Advertising, Analytics, Economics, Mathematics, Computer Science, Business, Finance, or a related field required.
  • Internship, coursework, project work, or professional experience in digital marketing, advertising, analytics, AI, technology, or a related field preferred.
  • Familiarity with Google Ads, Microsoft Ads, Meta Ads, LinkedIn Ads, or similar advertising platforms is a plus.
  • Familiarity with GA4, reporting platforms, or data visualization tools is a plus.
  • Demonstrated use of AI tools for research, productivity, content creation, analysis, or process improvement is strongly preferred.

Travel:Infrequent (less than 5%)

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