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

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AI Engineer (Remote)

Austin, TX · On-site +1

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 ...

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AI Engineer (Remote)

Austin, TX · Remote

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 ...

eClerx

Senior Delivery Lead - Agentic AI

Austin, TX · On-site +1

$220K/yr

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 ...

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AI Engineer (Remote)

Austin, TX · Remote

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 ...

Striveworks

Staff Machine Learning Engineer

Austin, TX · On-site +1

Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... This position offers a fully remote work environment, or you can work hybrid/on site at our office ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121K - $160K/yr

Founded by data scientists and engineers, Striveworks set out to make the journey from deployment ... Opportunities to conduct mission-critical field work This position offers a fully remote work ...

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All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Austin, TX

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 Jun 9, 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 are popular job titles related to Remote Data Science R jobs in Austin, TX? For Remote Data Science R jobs in Austin, TX, the most frequently searched job titles 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:
Remote Data Science R jobs near you

Full Stack Data Engineer & Analytics Developer

TPI Global Solutions

Austin, TX • On-site, Remote

Full-time

Posted 10 days ago

Job description

Job Title: Full Stack Data Engineer & Analytics Developer Location: Remote Job Type: Contract Job Summary We are seeking a highly skilled and business savvy FullStack Data Engineer & Analytics Developer to join our team. This role blends data analytics, backend engineering, and frontend development. The ideal candidate will possess strong analytical expertise, full stack development capabilities, and hands-on experience with databases including Postgres and Snowflake.

You will help bridge the gap between raw data, scalable systems, and actionable business insights. Key Responsibilities Develop, maintain, and optimize interactive dashboards and reports using Power BI. Collaborate with cross functional teams to translate business objectives into analytical and technical solutions.

Extract, manipulate, and analyze large datasets using SQL (Postgres, Snowflake) and Python. Build and maintain backend services using Python Flask and SQLAlchemy. Develop and enhance front end interfaces using JavaScript, React, Ag Grid, and CSS.

Identify key trends, patterns, and anomalies in data to support strategic decision making. Build and maintain data pipelines and integrations, ensuring data integrity, performance, and reliability. Conduct ad hoc analysis to support operational and strategic initiatives.

Present technical and analytical insights to stakeholders in a clear and compelling manner. Stay current with emerging tools, frameworks, and best practices in analytics and full stack development. Design and execute software testing activities based on documented business and technical requirements.

Required Qualifications Bachelor s degree in Business, Data Science, Computer Science, Statistics, or related field. 3+ years of experience in data analytics, full stack development, or similar hybrid roles. Advanced Power BI skills including DAX, data modeling, and report optimization.

Proficiency with SQL (joins, CTEs, subqueries) and experience with Postgres and Snowflake. Strong programming skills in Python (pandas, NumPy, matplotlib, seaborn) and experience with Flask and SQLAlchemy. Frontend experience using JavaScript, React, Ag Grid, HTML, and CSS.

Ability to communicate complex findings to non technical stakeholders. Experience with data warehousing and ETL processes is a plus. Web development experience (Ajax, HTML, CSS, JavaScript).

Preferred Qualifications Familiarity with version control tools (e.g., Git). Exposure to business domains such as finance, marketing, operations, or sales analytics. Knowledge of machine learning or predictive modeling.

Bonus points: Experience with PHP, ThoughtSpot, Sigma Computing.

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