ZipRecruiter

Log In

2

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

continued

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 ...

Continued

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 ...

Continued

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 ...

ActivTrak

Data Analyst

Austin, TX · Remote

... Computer Science, or a related discipline. * Minimum 3 years of experience in: * SQL (advanced ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

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 ...

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 ...

Rugiet Health

Director of Data (Remote)

Austin, TX · On-site +1

$170K - $230K/yr

Our growth is accelerating, our data volume is exploding, and our opportunities are multiplying ... Python or R experience for LTV modeling, churn prediction, MMM, forecasting, and ML feature ...

Neos Consulting

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

REMOTE - ONLY CANDIDATES CURRENTLY RESIDING IN THE AUSTIN, TEXAS WILL BE CONSIDERED*** No calls, no ... Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or ...

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 ...

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 ...

next page

Showing results 1-20

All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Austin, TX

Data Scientist R Remote information

See Austin, TX salary details

$37.2K

$121.7K

$194.8K

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

As of Jun 20, 2026, the average yearly pay for data scientist r remote 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 are Data Scientist R Remote jobs?

Data Scientist R Remote jobs are positions where professionals use the R programming language to analyze and interpret complex data, develop statistical models, and generate actionable insights, all while working outside of a traditional office setting. These roles often involve collaborating with teams virtually, cleaning and preparing data, and building predictive models using R and related tools. Remote data scientists leverage cloud-based platforms and communication tools to work effectively from any location. The role typically requires strong analytical skills, proficiency in R, and experience with data visualization and machine learning techniques.

How does a remote Data Scientist specializing in R typically collaborate with cross-functional teams?

As a remote Data Scientist with expertise in R, collaboration with cross-functional teams—such as product managers, engineers, and business analysts—is commonly facilitated through virtual meetings, shared documentation, and version control systems like Git. You'll often participate in sprint planning, present data-driven insights, and contribute to collaborative code reviews. Effective communication and proactive sharing of progress or challenges are key to ensuring alignment, especially when working across time zones. Utilizing tools like Slack, Jira, and cloud-based notebooks further streamlines teamwork and maintains project momentum.

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

To thrive as a Data Scientist (R, Remote), you need strong analytical skills, statistical knowledge, and a background in mathematics or computer science, often supported by a relevant degree. Proficiency in R programming, data visualization tools, and familiarity with machine learning libraries are typically required, and certifications like the Microsoft Certified: Azure Data Scientist Associate can be advantageous. Excellent problem-solving abilities, effective communication, and self-motivation are critical soft skills for collaborating remotely and translating data insights into actionable business decisions. These skills enable you to derive meaningful insights from complex data sets, drive data-driven strategies, and work efficiently in a remote team environment.

What is the difference between Data Scientist R Remote vs Data Analyst R Remote?

AspectData Scientist R RemoteData Analyst R Remote
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in RBachelor's in Statistics, Mathematics, or related field; proficiency in R
Work EnvironmentRemote, collaborative teams, project-basedRemote, reporting to managers, data reporting tasks
Employer & Industry UsageTech, finance, healthcare, consultingRetail, marketing, finance, healthcare
Common Search & ComparisonYesYes

Data Scientist R Remote and Data Analyst R Remote roles share similar skills in R programming and remote work environments. However, Data Scientists typically handle complex modeling, machine learning, and predictive analytics, requiring advanced statistical knowledge. Data Analysts focus on data reporting, visualization, and descriptive analysis. Both roles are vital across industries, but Data Scientists often require higher-level credentials and experience.

What are popular job titles related to Data Scientist R Remote jobs in Austin, TX? For Data Scientist R Remote jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Austin, TX look for? The top searched job categories for Data Scientist R Remote jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Scientist R Remote jobs? Cities near Austin, TX with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
AI Engineer (Remote)

AI Engineer (Remote)

continued

Austin, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

Job description

Location: Remote
Virtual, work-from-home position. Work anywhere in the US, must live in the US
ABOUT CONTINUED
A leader in EdTech, Continued is a team of passionate individuals dedicated to empowering professionals and enhancing careers. We are fast-paced, nimble, and we laugh a lot. We are proud to be certified as a great workplace, ranked #35 in Fortune's 2025 Best Medium Workplaces, ranked #18 in Fortune's 2025 top 25 Small & Medium Workplaces for Women, and ranked #74 in Fortune's 2024 Best Small & Medium Workplaces for Millennials by the independent analysts at Great Place to Work®. We are 100% virtual, scattered across the country, but we maintain a tight-knit culture driven by curiosity, a love of learning, and a desire to solve complex problems. Learn more about us at continued.com and parent company lacallegroup.com.
THE MISSION
We are seeking an experienced AI Engineer who is motivated, creative, and personable to join our dynamic team. This role requires a strong combination of technical expertise-particularly in software and AI-and real-world experience in building and deploying AI-powered systems. The ideal candidate will be focused on ensuring that technical AI solutions solve real-world problems and deliver measurable business outcomes. The AI Engineer will be responsible for moving models out of a notebook environment and integrating them into a live, scalable, and monitored system.
The AI Engineer will collaborate closely with other engineers and the broader DAIA team to operationalize machine learning and generative AI models at enterprise scale. This role will also help define best practices and guidelines for engineering teams.
WHAT YOU'LL DO (The Impact)
  • AI & Automation Discovery: Partner with stakeholders across the organization to identify and prioritize high-value opportunities for AI and automation.
  • Build & Ship: Design, develop, and support AI & automation systems that drive measurable business outcomes-from initial scoping to production deployment.
  • Platform Engineering: Design, build, and maintain scalable infrastructure, including frontend interfaces, backend services, and the underlying AI platform layer.
  • Data Pipelines & Model Integration: Create data pipelines and AI model context protocols, leveraging tools like MCP, LangChain, vector databases, and semantic search.
  • Reliability & Security: Ensure the high availability, performance, and security of AI platform services.
  • Extensibility: Contribute to platform growth by authoring SDKs, APIs, and comprehensive developer documentation.
  • Communication & Alignment: Translate complex AI concepts for non-technical stakeholders and keep business goals front and center.
  • Stay Sharp: Keep pace with rapidly evolving AI models, frameworks, and research-and bring that knowledge back to the team.

WHO YOU ARE
  • Education: Bachelor's degree in Computer Science, Data Science, or a related field-or equivalent demonstrated experience through portfolio work, open-source contributions, or professional practice.
  • Experience: Minimum of 3-5 years of experience in Software Engineering, Data Engineering, or Data Science, with meaningful hands-on experience building and deploying AI or LLM-powered systems.
  • Technical Skills:
    • Builder & Deployer: You don't just prototype-you ship. You have proven experience moving AI models out of notebooks and into live, scalable, monitored production systems.
    • AI & ML Practitioner: You are fluent in the full generative AI stack-LLMs, embeddings, vector databases, semantic search-and know how to apply them to real business problems.
    • Pipeline Pro: You have strong SQL skills, experience with data warehousing, and you build clean, reliable pipelines that others can depend on.
    • Software Craftsperson: You write production-ready code. OOP, clean architecture, testable systems-these aren't buzzwords to you, they're defaults.
    • Automation Native: You've worked with automation tools (Zapier, Gumloop, n8n, or similar) and know when to reach for them versus when to build something custom.
    • Strategic & Systems Thinker: You connect technical decisions to business outcomes. You can hold the big picture and the implementation detail at the same time.
    • Communicator: You're as comfortable in a stakeholder meeting as you are in a code review.
    • Ethics-First: You believe in responsible, transparent AI practices and bring that lens to everything you build.
    • Culture Fit: You thrive in a remote-first environment, are self-directed, and genuinely enjoy collaborating across functions. Curiosity is your default setting.
  • Preferred by Not Required:
    • Full-Stack Fluency: You've built end-to-end systems with React/TypeScript/Next.js frontends and Python/FastAPI or Node.js backends-and you're comfortable managing data with Postgres or Redis.
    • Quantitative Thinker: You have a solid grounding in statistics, probability, and experimental design. You know how to evaluate model performance rigorously, design meaningful tests, and distinguish signal from noise.

ADDITIONAL REQUIREMENTS
  • Can work a full-time W2 position on core U.S. business hours in your time zone.
  • Ability to fulfill the job requirements with or without reasonable accommodations.
  • Must be located in the United States and be legally eligible to work for us without sponsorship.
  • Travel is required for an all-company meeting, and may be required once or twice per year for team or project meetings.
  • Occasional after-hours/on-call for emergency support and special events (generally less than four times per year).

We prefer an excited candidate with a great attitude and less experience to an unmotivated or unengaged candidate with tons of experience.
WHY JOIN US?
  • Work from home with a company-provided MacBook and internet stipend.
  • 21 days of flexible PTO + your birthday + holidays (with flexible substitution).
  • Comprehensive medical, dental, and vision group health insurance, flexible spending accounts, and more.
  • 401k match, professional development budget, robust wellness programs, pet insurance and many more perks and benefits.

TO APPLY
To apply, please submit a cover letter with your application. In your cover letter, we'd love to hear about: 1) why you would make a great addition to our team, and 2) about a book you've read or video you've watched from which you learned something new or interesting.
By submitting your application, you acknowledge that we collect and process your personal information as described in our Applicant Privacy Notice. Please review the Notice before applying.

Apply