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Data Science Remote Freelance Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX ยท On-site +1

$95K - $130K/yr

Lead Modeling Scientist Location : Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone ...

Data Engineer (Remote Opportunity)

Austin, TX ยท On-site +1

$113K - $136K/yr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field. * 4+ years of experience designing, developing, and supporting data engineering solutions in ...

Sr Data Scientist GenAI

Dallas, TX ยท On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

... Data Science, Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Being curious, proactively digging data for actionable insights * Translates recommendation into ...

Showing results 41-60

Data Science Remote Freelance information

What skills and qualifications are needed to thrive as a data science remote freelance professional?

To thrive as a Data Science Remote Freelance professional, you need strong analytical skills, proficiency in statistics, programming (Python or R), and a solid understanding of machine learning, typically supported by a relevant degree or portfolio. Familiarity with data visualization tools (like Tableau), cloud platforms (such as AWS or GCP), and version control systems (like Git) is highly valuable. Exceptional communication, self-motivation, and time management are critical soft skills for remote client collaboration and project delivery. These skills ensure you can independently deliver actionable insights and maintain client satisfaction in a flexible, remote setting.

How do data science remote freelance professionals manage collaboration and communication with clients and teams?

Remote freelance data scientists usually rely heavily on digital collaboration tools such as Slack, Zoom, and project management platforms to stay connected with clients and team members. Clear communication about project goals, timelines, and deliverables is essential, especially since team members may be located in different time zones. Regular check-ins, status updates, and sharing progress through documentation or presentations help ensure everyone stays aligned. Building strong relationships and maintaining transparency are key to successful remote collaboration in this role.

What does a data science remote freelance professional do?

A Data Science Remote Freelance job involves working independently, often from home or any location, to provide data analysis, modeling, and interpretation services to various clients or companies. Freelance data scientists use programming, statistics, and machine learning to solve business problems, create predictive models, and generate actionable insights from data. They may work on projects like data cleaning, visualization, algorithm development, and reporting, and must manage their own schedules and client relationships.

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

AspectData Science Remote FreelanceData Analyst Remote Freelance
Required CredentialsTypically requires a degree in data science, statistics, or related field; proficiency in programming languages like Python or RUsually requires a degree in statistics, mathematics, or related field; strong Excel and SQL skills
Work EnvironmentIndependent, project-based, often self-managedIndependent, project-based, often self-managed
Employer & Industry UsageUsed by tech companies, startups, and consulting firms for complex data modelingUsed across industries for reporting, data visualization, and business insights

Data Science Remote Freelance and Data Analyst Remote Freelance share similarities in work environment and employer usage, but data science roles typically require more advanced technical skills and programming knowledge. Both roles are popular in remote freelance markets, serving different analytical needs.

What are the most commonly searched types of Data Science Remote jobs in Texas? The most popular types of Data Science Remote jobs in Texas are:
What cities in Texas are hiring for Data Science Remote Freelance jobs? Cities in Texas with the most Data Science Remote Freelance job openings:

Freelance Data Scraping Engineer (Python)

Mindrift

San Antonio, TX โ€ข Remote

$37/hr

Part-time

Re-posted 27 days ago


Job description

Mindrift is looking for highly skilledย Web Scrapingย specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases.

Mindrift is looking for highly skilledย Python Data Scraping Engineersย to join the Tendem project and drive specialized data scraping workflows for real-world applications.

In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction, and processing.

What We Doย 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project.ย As a Python Data Scraping Engineer,ย you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.ย 

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At leastย 3+ yearsย of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern web technologies and data processing tools, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectationsย 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensationย 

On this project, contributors can earn up toย $37 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.