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Remote Meta Data Science Jobs in Nevada (NOW HIRING)

... science, data analysis, statistics, education technology) or 1+ years of related professional experience Benefits * 100% Remote Work (U.S.-based) * Flexible Work Schedule - We trust you to manage ...

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Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Remote Meta Data Science information

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 popular job titles related to Remote Meta Data Science jobs in Nevada?

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

What cities in Nevada are hiring for Remote Meta Data Science jobs?

Cities in Nevada with the most Remote Meta Data Science job openings:

Jr. Data Analyst

Data Insight Partners

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision

Posted yesterday

New


Job description

Make a difference with data.
Are you passionate about using data to drive positive change in education? Join our mission to help K-12 schools turn complex education data into clear, actionable insights that empower students, families, and staff.
We're looking for a Junior Data Analyst to support the creation of interactive, user-friendly data reports that make information accessible to students, families, and staff. This is an entry-level, remote role with a flexible schedule, comprehensive healthcare benefits, and mentorship support for your career growth.
What You'll Do
With guidance and support, you will:
  • Build reports and visualizations that make education data accessible for students, families, and staff
  • Develop and maintain data ingestion, cleaning, and transformation processes
  • Write and troubleshoot SQL queries to prepare datasets for analysis
  • Identify patterns and errors in large datasets and help design solutions
  • Collaborate with team members to translate real-world school needs into technical solutions
  • Help onboard new districts and schools by configuring the application to fit their data, users, and reporting needs
  • Document new and existing processes

Requirements
Required Qualifications
  • Experience writing SQL queries by hand (no visual query builder), including joins, aggregations, filtering, and grouping across multiple tables (e.g., PostgreSQL, MySQL, SQL Server, Oracle)
  • Ability to translate real-world business rules into SQL queries and data visualizations
  • Ability to read and reason about existing SQL queries and adapt them to new requirements
  • Ability to analyze large datasets to identify issues or trends
  • Attention to detail, with a focus on data accuracy
  • Comfortable collaborating to define and solve problems based on user needs
  • Basic ability to identify the root cause of data issues and suggest improvements
  • Familiarity with version control tools (e.g., Git)
  • Strong written communication skills, including documentation
  • Comfortable working independently and managing your own time in a remote environment
  • Genuine interest in education and the mission of improving outcomes for K-12 students

Preferred Qualifications
  • Coursework or projects in data analysis, statistics, or a related field
  • Familiarity with relational data modeling concepts (tables, keys, relationships)
  • Knowledge of scripting languages like PHP, Python, or Node
  • Exposure to ETL / data pipeline concepts
  • Familiarity with HTML, JavaScript, and CSS
  • Familiarity with agent-based coding tools like Claude Code, OpenAI Codex, or GitHub Copilot

Experience
Completion of relevant coursework (e.g., computer science, data analysis, statistics, education technology) or 1+ years of related professional experience
Benefits
  • 100% Remote Work (U.S.-based)
  • Flexible Work Schedule - We trust you to manage your time effectively
  • Healthcare Coverage - Medical, dental, and vision plans provided
  • Mentorship and Learning - We'll support your growth in data analytics and reporting
  • Mission-Driven Work - You'll help schools and students use data to thrive