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Remote Computer Science Internship Jobs in Flower Mound, TX

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

... Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

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Remote (Applicants must reside in an approved U.S. state) Alabama, Arizona, Colorado, Florida ... Background in Healthcare Information Technology or Computer Science. * Experience supporting ...

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 ...

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Remote Computer Science Internship information

What is a remote computer science internship?

A Remote Computer Science Internship is a temporary, virtual position where students or aspiring professionals gain hands-on experience in computer science fields such as software development, data analysis, cybersecurity, or AI. Interns work on real-world projects, collaborate with teams, and develop technical and problem-solving skills—all from a remote location. These internships provide valuable exposure to industry tools, programming languages, and professional workflows, enhancing career prospects.

What kind of support and mentorship can I expect during a remote computer science internship?

Remote Computer Science Interns typically receive regular guidance from designated mentors or team leads through scheduled video calls, chat channels, and collaborative online tools. You'll have access to code reviews, feedback sessions, and opportunities to participate in virtual team meetings, allowing you to learn from experienced professionals and ask questions in real-time. Many organizations also provide onboarding resources, documentation, and community forums to help new interns integrate smoothly. This supportive environment ensures you can develop your skills, overcome remote work challenges, and make meaningful contributions during your internship.

What are the key skills and qualifications needed to thrive in a remote computer science internship, and why are they important?

To thrive as a Remote Computer Science Intern, you should possess a solid understanding of programming languages such as Python, Java, or C++, strong problem-solving abilities, and be actively pursuing or holding a degree in computer science or a related field. Familiarity with version control systems like Git, basic knowledge of software development tools, and exposure to collaborative platforms such as GitHub or Jira are highly valued. Excellent communication, self-motivation, and time management skills enable you to work effectively in a remote environment and stay connected with your team. These competencies are essential for successfully contributing to real-world projects, adapting to remote workflows, and developing professionally during the internship.

What are popular job titles related to Remote Computer Science Internship jobs in Flower Mound, TX? For Remote Computer Science Internship jobs in Flower Mound, TX, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science Internship jobs in Flower Mound, TX look for? The top searched job categories for Remote Computer Science Internship jobs in Flower Mound, TX are:
What cities near Flower Mound, TX are hiring for Remote Computer Science Internship jobs? Cities near Flower Mound, TX with the most Remote Computer Science Internship job openings:
Infographic showing various Remote Computer Science Internship job openings in Flower Mound, TX as of August 2026, with employment types broken down into 16% Internship, 65% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • 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 10+ 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.
  • 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.