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Remote Meta Data Science Jobs in Chicago, IL (NOW HIRING)

IQVIA

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Lead Clinical Data Manager (Remote)

Chicago, IL · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

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All JobsRemote Meta Data Science JobsRemote Meta Data Science Jobs in Chicago, IL

Remote Meta Data Science information

See Chicago, IL salary details

$38.6K

$126.4K

$202.4K

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

As of Jun 28, 2026, the average yearly pay for remote meta data science in Chicago, IL is $126,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,100.00 per year, depending on experience, location, and employer.

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 are the most commonly searched types of Meta Data Science jobs in Chicago, IL? The most popular types of Meta Data Science jobs in Chicago, IL are:
What are popular job titles related to Remote Meta Data Science jobs in Chicago, IL? For Remote Meta Data Science jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Chicago, IL look for? The top searched job categories for Remote Meta Data Science jobs in Chicago, IL are:
Remote Meta Data Science jobs near you

Data Engineering Manager (remote)

Claritev

Naperville, IL • On-site, Remote

Full-time

Posted 8 days ago

Job description

At Claritev, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we striveto bend the cost curve in healthcare for all. Our dedication to service excellence extends to all our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential.

Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and Upward!!!

JOB SUMMARY:

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data Engineering team, Data Architects and AI Team to implement data solutions for the organization using Python, PySpark and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.

JOB ROLES AND RESPONSIBILITIES:

  • Understand business processes and how they are modeled in various systems
  • Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
  • Design and Implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
  • Maintain scalable data pipelines to support continuing increases in data volume and complexity.
  • Adhere to established best practices on data integration/engineering, as well as the future of our data infrastructure
  • Managing and improving the performance of our database, queries, tools, and solutions
  • Creating and maintaining data warehouse, data lakes, databases, tables, SQL queries, and ingestion pipelines, predictive models, and downstream analysis
  • Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
  • Prepare data for predictive and prescriptive modeling
  • Identify and analyze data patterns
  • Identify ways to improve data reliability, efficiency and quality
  • Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
  • Collaborate, coordinate, and communicate across disciplines and departments.
  • Ensure compliance with HIPAA regulations and requirements.
  • Demonstrate Company's Core Competencies and values held within.
  • Please note due to the exposure of PHI sensitive data - this role is considered to be a High Risk and privileged role.
  • The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

JOB SCOPE:

The incumbent works independently and relies on judgment and experience to complete job responsibilities. The incumbent possesses an extensive range of knowledge of practices and procedures within the field and acts a resource for less experienced team members. Work is varied and complex.

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