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Remote Data Science R Jobs in Little Elm, TX (NOW HIRING)

Assistwith the setup, management, and streamlining of data pipelines for multiple data science and ... Gartner offers a hybrid, flexible environment, with remote work and opportunities to connect with ...

New

Data Scientist

Plano, TX ยท On-site +1

  • Medical

  • Retirement

  • PTO

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ... e.g., Python, R, RDKit, KNIME). * Strong scientific communication skills, with the ability to ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote role strictly for candidates within the United States. Position Overview: As a ... Education: * Bachelors degree in Data Science, Engineering, Statistics, Computer Science, or a ...

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw ... Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is ...

Exposure to data science, statistics, experimentation, model evaluation, Python/R, feature ... REMOTE Physical Demands and Working Conditions While performing the duties of this job, the ...

Showing results 21-40

Remote Data Science R information

See Little Elm, TX salary details

$34.6K

$113.3K

$181.4K

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

As of Aug 16, 2026, the average yearly pay for remote data science r in Little Elm, TX is $113,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $125,600.00 per year, depending on experience, location, and employer.

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

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a remote data science R, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

What job categories do people searching Remote Data Science R jobs in Little Elm, TX look for?

The top searched job categories for Remote Data Science R jobs in Little Elm, TX are:

What cities near Little Elm, TX are hiring for Remote Data Science R jobs?

Cities near Little Elm, TX with the most Remote Data Science R job openings:

Infographic showing various Remote Data Science R job openings in Little Elm, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,313 per year, or $54.5 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX โ€ข On-site, Remote

Full-time

Re-posted 22 days ago


Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements
  • Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.