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Remote Meta Data Science Jobs in Oregon (NOW HIRING)

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Data Scientist

OR · Remote

$130K - $150K/yr

Degree or equivalent years of experience in data science, statistics, computer science, or similar ... This position is a remote position and open to applicants in the continental United States. Why ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

New

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

New

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, LA, NJ ... support reporting, analytics, applications, data science, and AI-enabled workflows.

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Remote Meta Data Science information

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.

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 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.

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 job categories do people searching Remote Meta Data Science jobs in Oregon look for? The top searched job categories for Remote Meta Data Science jobs in Oregon are:
What cities in Oregon are hiring for Remote Meta Data Science jobs? Cities in Oregon with the most Remote Meta Data Science job openings:
Data Science & Analytics Program Director

Data Science & Analytics Program Director

Samaritan Health Services

Corvallis, OR • Remote

Full-time

Posted 3 days ago


Samaritan Health Services rating

7.4

Company rating: 7.4 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

264th of 881 rated healthcare providers


Job description

Data Science & Analytics Program Director Company: Samaritan Health Services Work Type: Remote Employment: Full Time Location: US Seniority: Senior Level Technologies: Python, R, SQL, Azure, Power BI Requirements: Senior-level data science leadership for healthcare; 7+ years in data analytics with 4+ in leadership; strong data visualization, cloud data platforms, and population health tools. Education: Bachelors Role: People Manager Category: Data and Analytics

What Samaritan Health Services employees say

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