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Remote Meta Data Science Jobs in Washington (NOW HIRING)

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110.30K - $149.80K/yr

... data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling • Develop and manage scalable data processing platforms for ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC ® is a premier Fortune ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

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 ...

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

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Remote Meta Data Science information

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.

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 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 Washington? The most popular types of Meta Data Science jobs in Washington are:
What are popular job titles related to Remote Meta Data Science jobs in Washington? For Remote Meta Data Science jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Remote Meta Data Science jobs? Cities in Washington with the most Remote Meta Data Science job openings:

Senior Data science Engineer - Remote

RapidSoft Corp

Reston, VA • Remote

$110.30K - $149.80K/yr

Contractor

Posted 17 days ago


Job description

Company Description

RapidSoft established in 2003, with a mission of providing clients with experiened and talented resources in timely manner. We specialize in in Independent Verification and Validation, Test Automation and DevOps, Static Code Analysis.

Our Staffing division handles, niche staffing needs for  companies of all sizes by providing technically prescreened resources thus reducing the hiring life cycle. Less  Clutter of Resumes More Hires for clients.

Job Description

Duties and Responsibilities: Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies Work with senior data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling Develop and manage scalable data processing platforms for both exploratory and real-time analytics Oversee and develop algorithms for quick data acquisition, analysis and evolution of the data model to improve search and recommendation engines. Document and demonstrate solutions Design system specifications and provide standards and best practices Support and mentor junior data engineers by providing advice and coaching Make informed decisions quickly and taking ownership of services and applications at scale Be a persistent, creative problem solver, constantly striving to improve and iterate on both processes and technical solutions Remain cool and effective in a crisis Understand business needs and know how to create the tools to manage them Take initiative, own the problem and own the solution Other duties as assigned  Supervisory Responsibilities: None  Minimum Qualifications: Bachelor's Degree in Data Engineering, Computer Science, Information Technology, or a related discipline (or equivalent experience) 8+ years experience in data engineering development 5+ years experience working in object oriented programming languages such as Python or Java Experience working in an Agile environment

Additional Information

All your information will be kept confidential according to EEO guidelines.