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Remote Meta Data Science Jobs in Austin, TX (NOW HIRING)

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok ... as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

ASIC Engineer, Power

Austin, TX · On-site +1

$146K/yr

... Meta silicon design requirements Minimum Qualifications: * Bachelor's degree in Computer Science ... Familiarity with custom or semi-custom design flows for high-performance computing or data center ...

... Meta's products * Gather, analyze, and apply operational data to identify systemic gaps and design ... Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or ...

Showing results 21-40

Remote Meta Data Science information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

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

As of Aug 7, 2026, the average yearly pay for remote meta data science in Austin, TX is $121,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $134,800.00 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 popular job titles related to Remote Meta Data Science jobs in Austin, TX? For Remote Meta Data Science jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Remote Meta Data Science jobs? Cities near Austin, TX with the most Remote Meta Data Science job openings:
Infographic showing various Remote Meta Data Science job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,659 per year, or $58.5 per hour.

Big Data Engineer | Austin, TX (Remote) | 5+ Months

Doyensys

Austin, TX • Remote

Contractor

Re-posted 8 days ago


Job description

Job Title: Big Data Engineer
Location: Location: Austin, Texas(Remote )
Duration: 5 Months with possible extension
Years of exp :9+
 
 
Required Skills:
 
Design and develop Extraction, Transformation, Load (ETL) processes for enterprise data warehouse using Informatica; Deep hands-on expertise with Informatica ETL processes, development, data management, data profiling, data flows, data relationships, and data quality standards and processes
Hands-on experience with data warehouse development and testing (relational and dimensional) and proven evidence to implement using databases like Oracle, SQL Server etc. but preferably Oracle
Experience in Data Science
Hands on experience with data modeling preferably in a data warehouse environment
Experience with Informatica product suite in the Informatica cloud
Experience devising and utilizing algorithms and models to mine data; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy
Experience with detecting and providing solutions to addressing mismatched data in case management systems.
 
 
Preferred Skills:
 
More than one type of RDBMS (DB2, SQL Server, Oracle)
Erwin or other equivalent data modeling tools
Experience in Amazon Web Services
Experience with detecting and providing solutions to addressing mismatched data in case management systems