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

Data Analyst Senior

Austin, TX ยท On-site +1

$85K - $107K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. #LI ...

AI Engineer

Austin, TX ยท On-site +1

$140K - $200K/yr

Remote (United States) Compensation: $140,000 - $200,000 base Visa Sponsorship: None available ... You will bridge the gap between complex data science and intuitive user experiences -- owning ...

Software Engineer, Geospatial Data

Austin, TX ยท Remote

$117K - $140K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

Software Engineer, Geospatial Data

Austin, TX ยท On-site +1

$113K - $136K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Our rigorous approach to product design, testing, and data science leads to accurate assessments of ...

We are open to hiring remote in the US. Essential Duties and Responsibilities: * Manage multiple ... Bachelors degree in a quantitative field such as Actuarial Science, Mathematics, Data Science or ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Bachelor's degree in Computer Science, Data Science, or a related fieldor equivalent demonstrated ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated ...

Remote Virtual, work-from-home position. Work anywhere in the US, must live in the US ABOUT ... Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated ...

Advanced degree (MBA, MS in Data Science) with 15+ years of experience, including 10+ years in AI ... Experience managing and collaborating with remote teams. * Proven leadership and people management ...

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 ...

Senior Security Analyst I

Austin, TX ยท Remote

$140K - $176K/yr

Data-science/anomaly-detection background, prior work securing AI/ML or GPU infrastructure Compensation Range: * $140,800 - $176,000 *This is a remote role JR: 2026-8010 #LI-Remote

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Remote Data Science R information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

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

As of Jul 1, 2026, the average yearly pay for remote data science r 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 Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are the most commonly searched types of Data Science R jobs in Austin, TX? The most popular types of Data Science R jobs in Austin, TX are:
What job categories do people searching Remote Data Science R jobs in Austin, TX look for? The top searched job categories for Remote Data Science R jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Data Science R jobs? Cities near Austin, TX with the most Remote Data Science R job openings:
Big Data Engineer | Austin, TX (Remote) | 5+ Months

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

Doyensys

Austin, TX โ€ข Remote

Contractor

Posted yesterday


Job description

Job Title: Big Data Engineer
Location: Location: Austin, Texas(Remote )
Duration: 5ย Months with possible extension
Years of exp :9+
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Required Skills:
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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.
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Preferred Skills:
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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
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