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R Data Scientist 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 ...

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 ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Proficiency in Python or R for data analysis. * Experience with SQL and working with relational ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Proficiency in Python or R for data analysis. * Experience with SQL and working with relational ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Proficiency in Python or R for data analysis. * Experience with SQL and working with relational ...

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine ... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics ...

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

Data Scientist

Spring, TX · On-site

$100 - $125/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily ... R, SAS, SPSS, Python). * Basic knowledge of machine learning, data integration, and modeling skills ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing ...

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 ...

As a Data Scientist, you will be responsible for designing and implementing complex analytical ... R) Key Metrics Strong communication skills and ability to effectively communicate technical ...

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 ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Data Scientist

Austin, TX · On-site

$80 - $100/hr

Data Scientist Hiring Department: School of Nursing Position Open To: All Applicants Weekly ... Creates original code in R as needed for conducting custom analyses. * Advises faculty and students ...

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R Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do r data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for r data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

What is an R data scientist?

An R Data Scientist is a professional who uses the R programming language to analyze data, build statistical models, and generate insights for decision-making. They often work with large datasets, applying machine learning, data visualization, and statistical techniques to solve complex business or research problems. R Data Scientists are skilled in data manipulation, exploratory analysis, and creating reproducible workflows, and they commonly work in industries such as healthcare, finance, and technology.

How does an R data scientist collaborate with cross-functional teams within an organization?

R Data Scientists frequently work alongside data engineers, business analysts, and subject matter experts to translate business goals into actionable data solutions. Collaboration often involves participating in meetings to understand project requirements, sharing analytical findings, and iterating on predictive models based on feedback. Clear communication is essential, as R Data Scientists must explain complex statistical concepts to non-technical stakeholders and ensure that data-driven recommendations align with business objectives. This collaborative environment fosters innovation and helps ensure that data science initiatives deliver measurable value.

What are the key skills and qualifications needed to thrive as an R data scientist, and why are they important?

To thrive as an R Data Scientist, you need strong expertise in statistical analysis, data wrangling, and programming in R, generally backed by a degree in statistics, mathematics, or computer science. Experience with RStudio, packages like dplyr and ggplot2, and familiarity with database systems or cloud platforms are highly valued. Critical thinking, problem-solving, and effective communication skills help convey insights to stakeholders and collaborate with diverse teams. These combined skills are essential for turning complex data into actionable business solutions and driving data-driven decision-making.

Is a data scientist still in demand?

Data scientists remain in high demand across industries due to the increasing reliance on data-driven decision making. Skills in programming languages like R and Python, along with knowledge of machine learning and statistical analysis, are highly valued by employers seeking to leverage big data for competitive advantage.

What cities in Texas are hiring for R Data Scientist jobs?

Cities in Texas with the most R Data Scientist job openings:

Infographic showing various R Data Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.

Data Scientist

Victory

Austin, TX • On-site, Remote

Full-time

Re-posted 18 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
Employment Type: FULL_TIME