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Data Scientist R Remote Jobs in Texas (NOW HIRING)

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Senior Data Scientist

Coppell, TX · Remote

$160K - $180K/yr

Senior Data Scientist Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range ... Advanced working knowledge of Python, R, SQL, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ... Advanced proficiency in programming languages such as Python, R, SQL, and Java. * Demonstrated ...

Senior Data Scientist

Houston, TX · On-site +1

$141K - $220K/yr

Overview Gilbane is looking to add a highly skilled Senior Data Scientist to our Information ... Requires strong skills in SQL and Python or R. * Excellent communicator / consultative approach ...

The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Master-level tool knowledge (e.g., SQL, Python, R, AWS, DataRobot, other systems) * Depth knowledge ...

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Data Scientist R Remote information

What is a data scientist R remote?

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?

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 cities in Texas are hiring for Data Scientist R Remote jobs? Cities in Texas with the most Data Scientist R Remote job openings:
Infographic showing various Data Scientist R Remote job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

Victory

Austin, TX • On-site, Remote

Full-time

Re-posted 13 days ago


Job description

About the Data Scientist position
We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions.
We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required.
Data Scientist responsibilities are:
  • Research and detect valuable data sources and automate collection processes
  • Perform preprocessing of structured and unstructured data
  • Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON)
  • Review large amounts of information to discover trends and patterns
  • Create predictive models and machine-learning algorithms
  • Modify and combine different models through ensemble modeling
  • Organize and present information using data visualization techniques
  • Develop and suggest solutions and strategies to business challenges
  • Work together with engineering and product development teams

Data Scientist requirements are:
  • 3+ years' experience of working on Data Scientist or Data Analyst position
  • Significant experience in data mining, machine-learning and operations research
  • Experience with data modeling, design patterns, building highly scalable and secured solutions preferred
  • Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines
  • Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC)
  • Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
  • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred
  • Must be a U.S. Citizen