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Remote Computer Science Jobs in Dallas, TX (NOW HIRING)

FHR

M6.20 MuleSoft Lead (100% Remote)

Dallas, TX · Remote

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

FHR

M6.20 MuleSoft Lead (100% Remote)

Dallas, TX · Remote

Phoenix, AZ (Remote) Duration: Up to 12 months, with potential for extensionOur direct client is ... Bachelor's degree in Computer Science or equivalent. * Experience: * 8+ years of programming ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Nice to Have: - Master's in Computer Science, Computational Linguistics, Statistics, Machine ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering, building and scaling data-intensive applications * Strong understanding of ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

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All JobsComputer Science JobsRemote Computer Science JobsRemote Computer Science Jobs in Dallas, TX

Remote Computer Science information

See Dallas, TX salary details

$22.2K

$84.8K

$185K

How much do remote computer science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for remote computer science in Dallas, TX is $84,791.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,938.00 and $121,374.00 per year, depending on experience, location, and employer.

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Dallas, TX? The most popular types of Computer Science jobs in Dallas, TX are:
What are popular job titles related to Remote Computer Science jobs in Dallas, TX? For Remote Computer Science jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Dallas, TX look for? The top searched job categories for Remote Computer Science jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Computer Science jobs? Cities near Dallas, TX with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Dallas, TX as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,791 per year, or $40.8 per hour.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 13 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 6+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Experience with MLflow and model lifecycle management
  • Experience building end-to-end ML pipelines in production
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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