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

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116.40K - $198.20K/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

$116.40K - $198.20K/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 ...

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 ...

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 ...

Vogo

Data Scientist

Dallas, TX · On-site +1

From downtown hotels and luxury resorts to private vacation rentals and remote cabins, Vogo offers ... About this Role Vogo is seeking a hands-on, data-driven Data Scientist to support the next stage of ...

BNSF Railway

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 ...

USAA

Data Scientist I

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

New

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

$142.30K - $195.70K/yr

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Humana

Lead Data Scientist

Dallas, TX · On-site +1

We are seeking a Lead Data Scientist to guide the strategic decisions and the development of ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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

Data Scientist R Remote information

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$37.1K

$121.4K

$194.4K

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

As of May 29, 2026, the average yearly pay for data scientist r remote in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 Dallas, TX? For Data Scientist R Remote jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Scientist R Remote jobs in Dallas, TX look for? The top searched job categories for Data Scientist R Remote jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Scientist R Remote jobs? Cities near Dallas, TX with the most Data Scientist R Remote job openings:
Data Scientist R Remote jobs near you
ML / Bioinformatics Data Scientist

ML / Bioinformatics Data Scientist

IT America Inc

Dallas, TX • Remote

Contractor

Posted 27 days ago

Job description

Position: ML / Bioinformatics Data Scientist

Location: Remote (PST work hours)

Duration: Long term contract

About the Role:

We are seeking a highly motivated and collaborative Bioinformatics/ML scientist to join the Computational biology & Medicine department in Computational Sciences COE (Center of Excellence) within Genentech’s Research and Early Development (gRED). The successful candidate will contribute to a cross-functional project that will apply Machine Learning (ML) models to multi-modal datasets collected from clinical trials. This role requires a deep understanding of application of Machine Learning models, a background in biology, a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to have worked on previous ML modeling projects and applying them to multi-modal datasets to be considered.

About the Project:

The goal of this project is to develop a machine learning model to predict a patient's risk for drug-induced liver toxicity based on a wide variety of patient characteristics including clinical, genetics, omics and safety labs. The focus will be harmonizing these diverse data sources, deriving new features, and  building machine learning models designed to identify a predictive signature that can distinguish between at-risk and not-at-risk patient populations.

Key Responsibilities:

  • Data centralization and harmonization
  • Applying ML methods on assembled dataset to identify patients’ risk for drug-induced liver toxicity.
  • Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

Educational Background:

  • PhD degree in quantitative field ( e.g., Computer Science, Computational Biology, Bioinformatics, Statistics, Mathematics) 

Experience:

  • Proven track record of working with statistical modeling techniques, including ML methods, is required
  • Demonstrated interest in problems across biology as applied to the discovery and development of treatments for disease is preferred

Technical Skills:

  • Data Science & Programming: Expertise in Python/R for data manipulation, statistical analysis, and ML model building (required)
  • Multimodal Data & Modeling: Proven ability to work with diverse data types (omics, clinical, imaging) (required).
  • Knowledge of statistics and experience with survival analysis (required)
  • Domain & AI-specific Skills: Experience with NLP/LLMs for feature extraction from unstructured text, and a strong background in a neuroscience (preferred)

Soft Skills:

  • Excellent communication, collaboration, and problem-solving skills (required).

Publications:

  • Strong publication record and experience contributing to research communities.