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

AI Engineer

Austin, TX · 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 ...

Data Architect

Austin, TX · Remote

$63.25 - $81.25/hr

Data Architect - Remote Intertek, a leading provider of quality and safety solutions to many of the ... Bachelor's degree in Computer Science, Information Systems, or related field. * 6+ years of ...

data engineer

Austin, TX · Remote

$113K - $136K/yr

Remote Duration: 6 months Responsibilities: * Design and implement robust ETL/ELT pipelines to ... Collaborate with data analysts, data scientists, and other stakeholders to understand data needs.

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 ...

Data Engineer - Healthcare

Austin, TX · Remote

$113K - $136K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field. * 2+ years ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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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 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 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:
Director, Predictive Analytics (U.S.A. Remote)

Director, Predictive Analytics (U.S.A. Remote)

Danaher

Austin, TX • On-site, Remote

$132K - $232K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Danaher rating

7.5

Company rating: 7.5 out of 10

Based on 27 frontline employees who took The Breakroom Quiz


Job description

Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

Within Danaher the work our diagnostic businesses do saves lives-and we're all united by a shared commitment to innovate for tangible impact.

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life.

We're accelerating the development of cutting-edge diagnostics to solve some of the world's most pressing health challenges. Across our diagnostics operating companies we are driving innovation through partnerships with top academic institutions and leading players in biopharma and translational research. We're bringing the best minds together to accelerate innovation and unlock the full potential of the latest scientific advances. Together, we're expanding access to precision diagnostics for millions of people worldwide - and we're using our unmatched global scale and proven playbook to make it happen, from hospital labs to mobile clinics. By helping providers, patients, and families get faster, more precise diagnostic results, we're improving treatment options and saving lives.

Learn about the Danaher Business System which makes everything possible.

The Director of Predictive Analytics will be dedicated to elevating HR through data-driven decision-making. Your expertise will guide the organization by designing, building, and deploying advanced models that inform critical workforce decisions, with a strong emphasis on workforce planning and talent outcomes.

This position reports to the Head of People Insights and is part of the Diagnostics People Insights Team and will be fully US remote.

Specific duties include but are not limited to:

  • Designing and implementing predictive models for workforce outcomes (attrition, quality of hire, high performance/potential).

  • Applying traditional and machine learning methods to large, complex HR datasets, ensuring data integrity and confidentiality.

  • Translating analytical findings into actionable insights through dashboards, reports, and presentations for HR leaders and business partners.

  • Advising HR functions on emerging trends in HR analytics, AI strategy, and compliance across global jurisdictions.

  • Leading and delivering high-impact projects such as attrition risk models, workforce forecasting, engagement-to-outcome modeling, and talent intelligence insights.

The essential requirements of the job include:

  • Master's or Ph.D. in Industrial-Organizational Psychology, Data Science, AI/ML, Statistics, or a related field, with the ability to translate complex analytics into executive-ready insights while ensuring alignment with global legal and regulatory requirements.

  • 8+ years of experience in HR analytics, including familiarity with HR systems (Workday, SuccessFactors) and regulated environments.

  • Strong experience with predictive modeling, statistical techniques.

  • Proficiency in Alteryx, R, Python, or other data science platforms

WithinDanaherDiagnostics,weoffer a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits atDanaher Benefits Info.

At DH Diagnostics we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. We ideally would like this position onsite, but is eligible for a remote work arrangement. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for DH Diagnostics can provide.

The salary range OR the hourly range for this role is $132,500 - 232,000 USD Annual. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.

This job is also eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.


For more information, visit www.danaher.com.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.


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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984