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Remote Computer Science Research Jobs in Texas (NOW HIRING)

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific ...

Osv_edf

Senior Scientist, Oceans Science

Austin, TX · On-site +1

$90K - $123K/yr

Location Remote US Home, Austin, Boulder, Boston, New York, San Francisco, Washington DC. Duration ... EDF has scientific research underway in a variety of topic areas including methane science, air ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Requirements: Will accept a Bachelor's degree in Mathematics, Computer Science, Statistics ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Requirements: Will accept a Bachelor's degree in Mathematics, Computer Science, Statistics ...

USAA

Data Scientist Senior

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

USAA

Data Scientist Senior

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

USAA

Data Scientist Senior

Plano, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Bachelor's degree in Mathematics, Computer Science, Statistics, Economics, Finance, Actuarial ...

Tamus

Postdoctoral Research Associate

El Paso, TX · On-site +1

College of Agriculture and Life Sciences at Texas A&M University * Texas A&M Forest Service * Texas ... Responsibilities: * Develop, implement, and validate remote-sensing-enabled models for ...

Tamus

Senior Research Associate

Temple, TX · Remote

Bachelor's degree in Agricultural Engineering, Agronomy, Remote Sensing, Geospatial Science, or ... Travel to research sites or grower fields. * Manual handling of moderate-weight UAV equipment (up ...

Deloitte

Life Science Clinical Manager

Dallas, TX · On-site +1

$64K - $88K/yr

Leading client engagements focused on research and development, quality, and business ... Bachelor's degree in Computer Science, Healthcare Administration, Life Sciences or related field ...

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All JobsComputer Science Research JobsRemote Computer Science Research JobsRemote Computer Science Research Jobs in Texas

Remote Computer Science Research information

What is the difference between Remote Computer Science Research vs Remote Software Developer?

AspectRemote Computer Science ResearchRemote Software Developer
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or higher in CS, coding skills
Work EnvironmentAcademic or research institutions, labsTech companies, startups, freelance projects
Employer & Industry UsageUniversities, research labs, government agenciesSoftware firms, tech industry, consulting
Common Search & Comparison IntentResearch focus, academic rolesDevelopment projects, coding jobs

Remote Computer Science Research typically involves academic or research roles requiring advanced degrees and a focus on theoretical or experimental work. Remote Software Developers focus on building and maintaining software applications, often with coding skills and industry experience. While both roles involve computer science, their work environments, credentials, and industry applications differ significantly.

How do remote computer science researchers typically collaborate with teams and manage project progress?

Remote computer science researchers often collaborate using digital communication platforms such as Slack, Zoom, and collaborative coding tools like GitHub. Regular virtual meetings, shared documentation, and version control systems are essential for synchronizing efforts and tracking project milestones. While working remotely can offer flexibility, it also requires strong self-management and proactive communication to ensure research goals are met and team members stay aligned. Building rapport and maintaining open channels for feedback help address challenges and foster a productive, supportive research environment.

What are the key skills and qualifications needed to thrive as a Remote Computer Science Researcher, and why are they important?

To excel as a Remote Computer Science Researcher, you need advanced knowledge in algorithms, data structures, and research methodologies, often supported by a master's or doctoral degree in computer science or a related field. Familiarity with programming languages (such as Python or C++), version control systems, and collaborative research platforms is typically required. Strong analytical thinking, self-motivation, and effective written communication are vital soft skills for independent work and sharing findings with the research community. These abilities are crucial for producing impactful research, collaborating remotely, and advancing knowledge in the field.

Is computer science dead due to AI?

Remote computer science research remains a vital field as AI advances, requiring expertise in algorithms, data analysis, and programming. AI tools can enhance research productivity but do not replace the need for foundational computer science skills and critical thinking. Continuous learning and adaptation are essential for computer scientists in this evolving landscape.

How to make $1000 a week remotely?

A remote computer science researcher can earn $1000 a week by taking on freelance projects, consulting, or contract work that leverages specialized skills such as programming, data analysis, or machine learning. Building a strong portfolio, networking, and using platforms like Upwork or Freelancer can help secure consistent high-paying assignments. Additionally, developing expertise in in-demand tools and obtaining relevant certifications can increase earning potential.

How can I make $100,000 a year working from home?

A remote computer science researcher can earn $100,000 annually by gaining specialized skills in high-demand areas such as machine learning, data analysis, or cybersecurity, and building a strong portfolio or reputation. Advanced degrees, certifications, and experience with programming languages like Python or R can also increase earning potential, often through consulting, freelance projects, or research positions with competitive salaries.

Can I work remotely with a computer science degree?

Remote computer science research positions are common and often require a degree in computer science or related fields. These roles typically involve skills in programming, data analysis, and research tools, and may require familiarity with collaboration platforms and remote work best practices.

What is remote computer science research?

Remote computer science research involves conducting studies, experiments, or theoretical work in computer science from a location outside of a traditional lab or office setting, typically from home or any place with internet access. Researchers use online collaboration tools, cloud computing resources, and virtual meetings to communicate with team members, access data, and share results. This setup allows for greater flexibility and can broaden participation in research projects across different geographic locations. The work may include areas such as artificial intelligence, cybersecurity, software engineering, or data science, and often requires strong self-motivation and excellent communication skills.
What are the most commonly searched types of Computer Science Research jobs in Texas? The most popular types of Computer Science Research jobs in Texas are:
What are popular job titles related to Remote Computer Science Research jobs in Texas? For Remote Computer Science Research jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Research jobs in Texas look for? The top searched job categories for Remote Computer Science Research jobs in Texas are:
What cities in Texas are hiring for Remote Computer Science Research jobs? Cities in Texas with the most Remote Computer Science Research job openings:
Remote Computer Science Research jobs near you
Infographic showing various Remote Computer Science Research job openings in Texas as of July 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.
DATA SCIENTIST

DATA SCIENTIST

Adidev Technologies Inc

Austin, TX • Remote

Full-time

Posted 18 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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