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Remote Meta Data Science Jobs in Oregon (NOW HIRING)

Data Engineer

OR · On-site +1

$107K - $128K/yr

... science and commitment to quality into everything that we do. * Mission: * Implement the data ... Provide technical support related to data structures, data models and meta data management to ...

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

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

This position is remote-friendly. Position Overview: We are seeking a Lead Data Scientist to join the AI Integrity Labs team within the AI organization. This role focuses on evaluating LLMs and ...

Data Scientist

OR · On-site +1

$74K - $111K/yr

... data science, or applied analytics. * Proficiency in Python and SQL, working knowledge of ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

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 ...

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 ...

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 ...

Sr Data Scientist - Marketing Analytics

OR · On-site +1

$91K - $169K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Senior Data Scientist at BECU, you'll serve as a strategic ...

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Senior Data Scientist, Marketing Analytics at BECU, you'll ...

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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 cities in Oregon are hiring for Remote Meta Data Science jobs? Cities in Oregon with the most Remote Meta Data Science job openings:
Data Engineer

$107K - $128K/yr

Full-time

Posted 19 days ago


Job description

  • Azurity Pharmaceuticals, Inc. is a fast-growing pharmaceutical company focusing on the needs of patients requiring customized, user-friendly drug formulations, especially children and the elderly. Azurity's products have benefited millions of patients whose needs are not served by other commercially available therapies. For more information, visit www.azurity.com.
    Azurity's success is attributable to our incredibly talented, dedicated team that focuses on benefiting the lives of patients by bringing the best science and commitment to quality into everything that we do.
  • Mission:
    • Implement the data models and data structures needed for each use case as defined by the Data Architect, in the most convenient format to be used by the Data Scientist
    • Own the structural elements of data, e.g., data storage, data piping, interfacing with analytics platforms
    • Participate in data requirements, modelling and testing
  • Tasks & responsibilities:
    • Provide technical support related to data structures, data models and meta data management to relevant stakeholders
    • Creates data models, providing the right format and structure for the use case solutions
    • Participate in early data modeling and testing for use case development, provide input on how to improve proposed solutions and implement necessary changes
    • Extract relevant data to solve analytical problems; ensure development teams have the required data
    • Interact with the business ([function]) to understand all data requirements to develop business insights and translates them into data structures and data models, in close collaboration with Data Architect
    • Work closely with IT/IM teams on internal data acquisition (e.g., CRM, ERP) and with Data Architect for external data acquisition
  • Knowledge & experience:
    • 5+ years' experience with advanced data management systems (e.g., PostgreSQL, etc.)
    • Deep expertise in data modeling and structuring
    • Experience in high volume data environments
    • Ability to quickly learn new technologies
    • Developing and maintaining formal documentation that describes data and data structures including data modelling
    • Strong attention to detail and an ability to think critically and conceptually
    • Team oriented and flexible with proven track record in collaborating with multiple stakeholders
    • Strong verbal and written