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Remote Data Jobs in Frisco, TX (NOW HIRING)

Tapcheck

Data Analyst

Plano, TX · On-site +1

... data says they should do about it. That means maintaining the standards for what gets measured ... If remote, Ideally, candidates will sit in the following states: AL, AZ, CA, CO, DC, DE, FL, GA, ID ...

Prointegrate LLC

Be Seen First

Data Scientist (Remote - Anywhere in USA) - NO C2C 240-285 USD/hr

Dallas, TX · Remote

$245 - $280/hr

Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You'll bring ...

M/A/R/C Research, LLC

Regulatory Data Manager

Plano, TX · On-site +1

Remote (U.S.) Department: Compliance & Data Management Reports To: SVP, Compliance & Data Management About Us We are a leading marketing and regulatory research organization specializing in complex ...

AE Perkins

Data Team Supervisor

Dallas, TX · On-site +1

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... The Data Team Supervisor is responsible for managing the daily activities of the data analysis team ...

AE Perkins

Data Team Supervisor

Dallas, TX · Remote

$105K - $120K/yr

Remote-First with In-Person Training: This position is remote following successful completion of ... The Data Team Supervisor is responsible for managing the daily activities of the data analysis team ...

ADT Security Services

Data Scientist

Irving, TX · Remote

Summary: The Data Scientist, Marketing Analytics serves as a core analytical authority on ADT ... Remote/Home office (Continually=67-100% of the workday) Travel: * Occasionally, less than 25%

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Showing results 41-60

All JobsData JobsRemote Data JobsRemote Data Jobs in Frisco, TX

Remote Data information

See Frisco, TX salary details

$43.1K

$154.4K

$227.9K

How much do remote data jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote data in Frisco, TX is $154,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $159,100.00 per year, depending on experience, location, and employer.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are some common challenges faced when working as a remote data analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from a home or remote location. These roles typically require basic computer skills, attention to detail, and often use tools like spreadsheets or data management software. They are commonly offered as part-time or flexible schedules and are suitable for individuals seeking remote work opportunities.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. They are often part-time or flexible positions, suitable for individuals seeking remote work opportunities.

What are the most commonly searched types of Data jobs in Frisco, TX?

The most popular types of Data jobs in Frisco, TX are:

What are popular job titles related to Remote Data jobs in Frisco, TX?

For Remote Data jobs in Frisco, TX, the most frequently searched job titles are:

What job categories do people searching Remote Data jobs in Frisco, TX look for?

The top searched job categories for Remote Data jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Remote Data jobs?

Cities near Frisco, TX with the most Remote Data job openings:

Remote Data jobs near you
Infographic showing various Remote Data job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $154,446 per year, or $74.3 per hour.

Data Scientist, P&C Insurance - Remote

UPLAND CAPITAL GROUP INC

Dallas, TX • On-site, Remote

$110K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Key responsibilities

  • Perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization

  • Translate business requirements into actionable data science projects and see them through to completion

  • Deploy, monitor, and maintain models in a containerized Azure environment, applying MLOps principles

Job description

Data Scientist, P&C Insurance - Remote
Upland Capital Group, Inc. is an AM Best rated "A-" VIII specialty property/casualty insurer headquartered in Dallas, Texas. Through its wholly owned insurance carrier, Upland Specialty Insurance Company, the company markets, underwrites and services specialty insurance products in select markets to include excess transportation, construction casualty, excess casualty, primary general liability, excess public entity, professional liability errors and omissions as well as excess cyber liability.
We focus on "old school" underwriting as a craft, add "new school" analytics and technology, and encourage a gritty, growth mindset among people called "we entrepreneurs."
As an Excess and Surplus (E&S) carrier, we face unique and interesting challenges every day. We are looking for a Data Scientist to join our Risk, Analytics, & Data (RAD) team.
Primary Function:
The Data Scientist role requires a strong statistical and programming foundation, hands-on experience building models, and a genuine interest in how models are deployed and maintained in production. This is an individual contributor role where you can make a real impact from day one, and we are open to a range of experience levels: you might be an early-career data scientist with a strong foundation and high potential, or a seasoned practitioner who already owns the full model lifecycle. Title and responsibilities will be calibrated to your experience. The role will report to the Director of Data Science.
At our Risk, Analytics, & Data (RAD) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized, and we are cloud based, running on Azure. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting and claim insights with timely and relevant data-driven analytics and technology. We look to create models that require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a 'one size fits all' mindset. In this role, you will work across the full model lifecycle - from analysis and model development through deployment, monitoring, and maintenance in production. As a member of a small, growing team, your scope will grow with you: you'll find both the support to develop new skills and the room to take ownership quickly.
Duties and Responsibilities:
As a Data Scientist at Upland, you will perform analyses and build models to support decision-making for actuarial, underwriting, claims, and other functions across the organization, and learn to carry those models through deployment and into production. You will be encouraged to try new things that push Upland forward and expand your own skillset. As a member of a small, growing team, you will have unusual visibility into how models drive business decisions and broad exposure across the model lifecycle. Responsibilities will include:
  • Translate business requirements from different stakeholders into actionable data science projects
  • Drive projects forward, take ownership of project deliverables, and see assigned work through to completion
  • Curate modeling datasets using internal and external data sources
  • Build, test, and validate statistical and machine learning models using appropriate techniques, grounded in sound statistical reasoning
  • Clearly explain results and recommendations to technical and business stakeholders
  • Establish and follow strong engineering practices - code review, reproducibility, experiment tracking, and model documentation
  • Deploy, monitor, and maintain models in our containerized Azure environment, applying MLOps principles, including - version control, automated testing, CI/CD, model versioning, and drift detection
  • Develop AI-powered tools and applications, including LLM-based solutions (e.g., automating aspects of the modeling process, surfacing insights from model output) for underwriting, claims, and operational use cases
  • Contribute to a strong team culture by participating actively in code review and pairing, sharing what you learn, and both providing and seeking feedback to/from team members
  • Research, learn, test, and apply new techniques to advance the company's statistical modeling/MLOps/AI engineering capabilities
  • Build strong partnerships within RAD and across the organization, working hand-in-hand with Data and Model Engineering and with our underwriting, claims, and business stakeholders to understand their needs and deliver solutions that create real value

Experience, Education, Special Skills Required:
  • 2-5+ years of technical experience in a data science, actuarial, analytics, or predictive modeling role, with hands-on experience deploying models or analytics tools to production
  • Strong statistical foundation and analytical skills - able to select, build, validate, and interpret models rigorously, and explain the results clearly
  • Proficiency in programming languages such as Python, R, and/or SQL, with the ability to write production-quality code
  • Strong knowledge of a variety of modeling techniques and the ability and interest to learn new techniques quickly (e.g., Regression, Classification, Bayesian Modeling, Natural Language Processing, Price Optimization, etc.)
  • Experience applying software engineering and MLOps principles - e.g., Git-based workflows, containerization (Docker), CI/CD, model versioning, and monitoring
  • Experience with cloud environments (e.g., Azure, AWS) for model development and deployment
  • Practical experience building with LLMs and generative AI - e.g., building and using skills, model APIs, prompt-based tools, agent workflows, etc.
  • Self-starter, quick learner, and creative problem solver that thrives in a flexible, fast-paced, and remote work environment

Preferred Experience, Education, and Skills:
  • P&C insurance domain knowledge, particularly commercial lines and E&S products
  • Experience in the end-to-end model creation and deployment process to improve product, pricing, reserving, underwriting, and claims in P&C insurance
  • Bachelor's or Master's degree in Mathematics, Statistics, Data Science, Actuarial Science, Computer Science, or related quantitative field
  • Experience with a fully containerized model architecture and ML platforms (e.g., Azure ML, MLflow, SageMaker)
  • Experience with non-relational (NoSQL) databases and modern data platforms (e.g., Snowflake)
  • Experience with visualization tools such as Power BI, Shiny, Streamlit, etc.

Disclosures:
Pay Estimate: $ 110,000 - $165,000
Other compensation: annual incentive program
Benefits: health insurance including FSA and HSA options and free access to Teladoc, vision, dental, disability and life insurance, parental leave, responsible time off (unlimited vacation days without an accrual system), paid sick time as required by law, 401(k), tuition reimbursement and employee assistance program.

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