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Remote Applied Mathematics Jobs in Texas (NOW HIRING)

Tamus

Geospatial Analyst II

College Station, TX · On-site +1

$6.0K/mo

As part of our integrated technology team in the Applied Technology Department of the Fire and ... Required qualifications: -Bachelor's degree in forestry, natural resources, spatial sciences, math ...

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Remote Applied Mathematics information

See Texas salary details

$18K

$68K

$163.1K

How much do remote applied mathematics jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote applied mathematics in Texas is $68,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,617.00 and $87,503.00 per year, depending on experience, location, and employer.

What jobs can I do with a remote applied mathematics degree?

A remote applied mathematics degree prepares individuals for roles such as data analyst, quantitative analyst, operations researcher, or financial analyst. These jobs often require skills in statistical modeling, programming languages like Python or R, and data visualization tools, and they typically involve analyzing complex data sets to inform decision-making. Many positions are available in finance, technology, healthcare, and consulting industries, often with flexible or remote work options.

What are some typical projects or problems addressed by professionals in remote applied mathematics roles?

Professionals in Remote Applied Mathematics frequently tackle complex problems such as optimizing processes, developing statistical models, or analyzing large datasets to extract actionable insights for industries like finance, healthcare, or engineering. Their daily work often involves collaborating with multidisciplinary teams via virtual meetings, sharing research findings, and validating results through computational simulations or data analysis. Project scopes can range from short-term consultations to long-term research, allowing for significant variety and intellectual engagement. This dynamic environment enables applied mathematicians to make real-world impacts while building a versatile skill set relevant to a variety of sectors.

What is a remote applied mathematics?

A Remote Applied Mathematics job involves using mathematical theories and techniques to solve real-world problems in various industries while working from a remote location. Professionals in this field apply mathematical modeling, statistical analysis, and computational methods to fields like finance, engineering, data science, and operations research. They often collaborate with teams virtually, using digital tools to analyze data, develop algorithms, and optimize solutions. Strong problem-solving skills and proficiency in programming languages like Python, R, or MATLAB are commonly required. This role offers flexibility and allows mathematicians to contribute to diverse industries without being tied to a physical office.

Is applied mathematics in demand?

Applied mathematics is in high demand across industries such as finance, technology, engineering, and data science. Professionals with skills in mathematical modeling, programming, and statistical analysis are sought after for roles involving data analysis, algorithm development, and problem-solving in various organizations.

What jobs can you get with a remote applied mathematics degree?

A remote applied mathematics degree can lead to roles such as data analyst, quantitative analyst, operations researcher, or software developer. These positions often require strong analytical skills, proficiency in programming languages like Python or R, and the ability to work independently in a virtual environment.

What are the key skills and qualifications needed to thrive in the remote applied mathematics position, and why are they important?

To thrive in Remote Applied Mathematics, you need a solid background in mathematical modeling, statistical analysis, and problem-solving, usually substantiated by a degree in mathematics, applied math, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience using data analysis software is highly valued. Strong communication, self-motivation, and time management skills help remote professionals collaborate and meet project goals effectively. These combined abilities are crucial to deliver high-quality mathematical solutions and insights while working independently in a virtual environment.

Can remote applied mathematicians work remotely?

Yes, remote applied mathematicians can work remotely, as many roles in this field involve data analysis, modeling, and programming that can be performed online. Employers often require strong analytical skills and proficiency with tools like MATLAB, Python, or R, and remote work arrangements are common in research, consulting, and technology sectors.

What are the most commonly searched types of Applied Mathematics jobs in Texas?

The most popular types of Applied Mathematics jobs in Texas are:

What are popular job titles related to Remote Applied Mathematics jobs in Texas?

For Remote Applied Mathematics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Applied Mathematics jobs in Texas look for?

The top searched job categories for Remote Applied Mathematics jobs in Texas are:

What cities in Texas are hiring for Remote Applied Mathematics jobs?

Cities in Texas with the most Remote Applied Mathematics job openings:

Remote Applied Mathematics jobs near you
Infographic showing various Remote Applied Mathematics job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,041 per year, or $32.7 per hour.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

San Antonio, TX • Remote

$45/hr

Part-time

Re-posted 20 days ago

Job description

Mindrift is looking for highly skilled Vibecode 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 skilled Senior Python Data Scraping Engineers 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 Do 

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. As a Senior Python Data Scraping Engineer, 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.

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 requirement.
  • 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 least 5+ years 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 development tools and technologies, 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

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • 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 expectations 

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.

Compensation 

On this project, contributors can earn up to $45 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.

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