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Data Scientist R Remote Jobs in Texas (NOW HIRING)

MedReview

Data Scientist

Austin, TX · On-site +1

However, for the right fit, we may consider remote . Responsibilities: * Problem Identification ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Victory

Data Scientist

Austin, TX · On-site +1

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 ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

RedSail Technologies, LLC

Clinical Data Scientist

Irving, TX · On-site +1

$130K - $160K/yr

Clinical Data Scientist Job Summary The RedSail Technologies Network Services Business Unit has the ... Position is performed in a general office environment, home office, or approved remote workspace ...

HiddenLayer

Data Scientist

Austin, TX · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Parkhill

Senior Data Scientist

Austin, TX · On-site +1

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

Parkhill

Senior Data Scientist

Houston, TX · On-site +1

Overview The Senior Data Scientist will leverage advanced analytics, machine learning, and AI to ... Strong proficiency in Python or R, including relevant ML libraries * Expertise in SQL and ...

Munich Re

Data Scientist, AI

Arlington, TX · On-site +1

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 ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

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 ...

Gartner

Data Scientist

Irving, TX · Remote

We are searching for a talented data scientist to join our team. You will have access to the best ... Assistance@gartner.com #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the ...

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All JobsData Scientist R Remote JobsData Scientist R Remote Jobs in Texas

Data Scientist R Remote information

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 Texas? For Data Scientist R Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Texas look for? The top searched job categories for Data Scientist R Remote jobs in Texas are:
What cities in Texas are hiring for Data Scientist R Remote jobs? Cities in Texas with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
Infographic showing various Data Scientist R Remote job openings in Texas as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Data Scientist

Data Scientist

MedReview

Austin, TX • On-site, Remote

Full-time

Posted 4 days ago

Job description

Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
Responsibilities:
  • Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
  • Data Collection & Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
  • Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
  • Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.
  • Communication & Visualization: Translate technical findings into "data stories" using tools like Tableau or Power BI to influence executive decisions. 
Qualifications: 
  • Master’s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
  • Programming: Proficiency in Python or R  along with SQL for database querying.
  • Mathematics & Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.
  • Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams

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