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

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 ...

PTP

Data Analyst - REMOTE

Austin, TX · On-site +1

Bachelor's degree in Information Systems, Computer Science, Statistics, or related field * 2+ years of experience in data analysis, preferably in an IVR or contact center environment * Experience ...

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 ...

Striveworks

Senior User Experience Designer

Austin, TX · On-site +1

$160K - $200K/yr

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

Deloitte

GCP Manager

Austin, TX · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Civitech

Data Acquisition Specialist

Austin, TX · Remote

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 ...

Apply Early

Civitech

Data Acquisition Specialist

Austin, TX · On-site +1

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 ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

This is a fully remote position. Face to face communication is important to us, so we have ... Be available on a rotating schedule for production issues Experience * BS in Computer Science or ...

DigitalOcean

Senior Security Analyst I

Austin, TX · 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 Why You'll Like ...

Osv_edf

Senior Scientist, Oceans Science

Austin, TX · On-site +1

$90K - $123K/yr

Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC Duration: This is a ... Analyze, interpret, and communicate scientific data to state, federal, and international ...

Cotality

Principal Software Engineer (Python)

Austin, TX · On-site +1

$133K - $179K/yr

The hybrid-remote Principal Software Development Engineer leads the design, development, and ... Partner with the Data Science team to architect intelligent routing logic that leverages Small ...

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Showing results 1-20

All 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 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 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
Staff Machine Learning Engineer (Active Secret Clearance)

Staff Machine Learning Engineer (Active Secret Clearance)

Striveworks

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Build, Deploy, and Maintain AI for an Unpredictable World
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
With Striveworks, organizations aren't just deploying AI-they're building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they're deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs-and enabling confident, data-driven decision-making in dynamic environments.
The Role
As a Staff Machine Learning Engineer at Striveworks, you will be challenged-and trusted-on day one to be both a core contributor and a customer-facing technical leader on the projects and direction of the company. In this mission-critical work, you will design AI-powered solutions, you will bring them into being-from data shaping and ingestion, through analytics, to end-user delivery-and you will inform future platform capabilities.
You're right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You are passionate about applying both software engineering and data science to solve real-world problems. You are comfortable simultaneously leading a team, executing directly on critical elements of the plan, and presenting vision and outcomes to your customer.
Your day-to-day will include:
  • Working with customers, engineers, and other stakeholders to define clear requirements that solve the customers' problems and leverage the capabilities of our AI operations platform.
  • Translating requirements into a technical approach, design, scoping estimate, and execution plan.
  • Leading execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
  • Designing, orchestrating, and automating complex data pipelines and algorithms within modern architectures (cloud, event-driven, microservices, etc.).
  • Guiding the development of machine learning models and custom analytics applied to image, video, text, geospatial, time series, and structured data.
  • Raising insights, opportunities, challenges, and feedback in order to improve group-level practice, capture reusable functionality, expand company opportunities, and accelerate time to value.
  • Conducting mission-critical fieldwork and interfacing with customers and other stakeholders at their work sites.

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 20% of the time.
The Right Fit
In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust.
Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.
Here's what we're looking for:
  • Advanced degree in data science, machine learning, computer science, or a related discipline and 10+ years of relevant experience
  • Broad proficiency in programming languages common to machine learning (excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and scikit-learn) and systems programming (e.g., Go, Rust, C++, Java, Scala, etc.)
  • Proficiency in the design and delivery of algorithms, data structures, and production analytics and in the use of design patterns in cloud environments
  • Demonstrated experience defining, scoping, planning, and delivering complex technical solutions in production environments
  • Proficiency with modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
  • Demonstrated ability to lead, manage, and mentor small cross-functional teams that work across office, remote, and customer sites
  • Ability to communicate complex topics with professionalism, competence, and clarity to internal and external stakeholders (both technical and non-technical) via documents, presentations, and conversations
  • Active Secret (or above) US security clearance
  • Due to the nature of this role, candidates must have US citizenship
The Wish List
We're very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:
  • Experience with Kubernetes (k8s) and horizontally scaled architectures
  • Knowledge of messaging systems such as NATS, Kafka, RabbitMQ, or similar
  • Experience building AI agents and workflows
  • Experience with complex and varied data types, such as multi-spectral imagery, full motion video, acoustic or sonar signals, synthetic aperture radar, or hardware telemetry
  • Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $210,000-$260,000/year. Striveworks' total compensation package includes a competitive base salary, equity grants, and cash bonuses.
The Benefits
  • Medical/dental/vision insurance
  • Voluntary life, long-term disability, accident, and hospital indemnity insurance
  • HSA and FSA (including dependent care FSA) plans
  • 401(k) plan
  • Unlimited PTO
  • Paid parental leave

Check us out on Built In!
Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.
If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.
In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.
Striveworks is a participating employer in the E-Verify program.

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