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Remote Data Scientist Jobs in Spring, TX (NOW HIRING)

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... science or related field from an accredited institution. * Telecommuting or remote work is ...

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... science or related field from an accredited institution. * Telecommuting or remote work is ...

Biology Expert - Remote

Houston, TX · Remote

$75 - $100/hr

Remote Scope of Work: * Critically evaluate and provide detailed feedback on biology-related data ... Experience with scientific data analysis, critical evaluation of research, and synthesis of ...

New

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

Remote Job Type: Contractor Pay: $50-$80/hour Job Overview We are seeking an experienced Medical ... Verify scientific accuracy using source data, TFLs (Tables, Figures, and Listings), and study ...

Showing results 41-60

Remote Data Scientist information

See Spring, TX salary details

$33.4K

$109.2K

$174.9K

How much do remote data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote data scientist in Spring, TX is $109,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $121,000.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

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

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

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

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

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

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

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

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

Infographic showing various Remote Data Scientist job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,224 per year, or $52.5 per hour.

Senior Applications System Analyst

Houston, TX • On-site, Remote

MD Anderson
Health Care and Social Assistance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 173 frontline employees who took The Breakroom Quiz


Job description

The Senior Applications Systems Analyst position is responsible for providing technical leadership and expertise in the design, development, deployment, and support of data-driven applications, analytics platforms, and research systems. The role focuses on developing secure, scalable solutions for data collection, processing, integration, analysis, and reporting, while supporting complex research and business requirements. This position works closely with stakeholders to define system objectives, analyze requirements, and implement innovative solutions using modern software engineering and data science practices. The incumbent also serves as a mentor, providing technical guidance and knowledge sharing to team members.
To be successful in this position, the individual must possess strong expertise in Python development, data analysis, data engineering, and scientific computing. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools is highly desirable. The successful candidate should be comfortable working in Linux environments, using command-line interfaces (CLI), container technologies such as Docker, and modern development workflows. Experience with relational databases, cloud platforms, API development, version control, and automated deployment processes is also important. Familiarity with research, healthcare, or large-scale data platforms and experience working in agile development environments would be considered assets. This position may also be asked to serve as a technical lead or product owner.
Minimum $106,500 - Midpoint $133,000 - Maximum $159,500
Work Location: 100% remote within Texas, with onsite presence in the medical center a few times per month. Prefer a local candidate.
Why Us?
This role offers the opportunity to drive impactful technical solutions that directly support UT MD Anderson's mission to eliminate cancer. As a Senior Applications Systems Analyst, you will lead complex projects, mentor team members, and work with cutting-edge technologies in a collaborative and flexible environment that supports professional growth and work-life balance.
• Employer-paid medical coverage starting day one for employees working 30+ hours/week, plus optional group dental, vision, life, AD&D, and disability insurance.
• Accruals for PTO and Extended Illness Bank, plus paid holidays, wellness, childcare, and other leave options.
• Tuition Assistance Program after six months of service and access to extensive wellness, fitness, and employee resource groups.
• Defined-benefit pension through the Teachers Retirement System, voluntary retirement plans, and employer-paid life and reduced salary protection programs.
EDUCATION
  • Required: Bachelor's Degree
  • Preferred: Bachelor's or Master's degree in Computer Science or Data Science degree.

WORK EXPERIENCE
  • Required: 5 years Experience in epic software, domain, analysis, design, project management, or programming.
  • May substitute required education degree with additional years of equivalent experience on a one to one basis.
  • Preferred: At least 5 years of software development experience, strong expertise in Python development, data analysis, data engineering, and scientific computing. Experience with Python libraries and frameworks such as Pandas, NumPy, SciPy, Jupyter, and related data science tools.

The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html
Additional Information
  • Requisition ID: 182375
  • Employment Status: Full-Time
  • Employee Status: Regular
  • Work Week: Days
  • Minimum Salary: US Dollar (USD) 106,500
  • Midpoint Salary: US Dollar (USD) 133,000
  • Maximum Salary : US Dollar (USD) 159,500
  • FLSA: exempt and not eligible for overtime pay
  • Fund Type: Soft
  • Work Location: Remote (within Texas only)
  • Pivotal Position: Yes
  • Referral Bonus Available?: No
  • Relocation Assistance Available?: No

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