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Remote Library & Information Science Jobs in Texas

Numentica LLC

Frontend Engineer React and AWS

Austin, TX · Remote

$30 - $38/hr

Remote (EST Work Hours) Duration: 12 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C ... REST and GraphQL API integration * Front-end testing with Jest, React Testing Library, Cypress, or ...

Vytwo

IT Project Management Advisor

Prosper, TX · Remote

$58/hr

Remote Duration: 12 months Description: **This position is Contract to Hire and Open to Dublin, OH ... Computer Sciences courses preferred. Experience Seven (7) years of related experience or equivalent ...

Stride, Inc.

Computer Science CTE Teacher

Denton, TX · Remote

$49K/yr

Computer Science 8-12 OR Computer Information System Residency Requirements: TEXAS The remote High School CTE Teacher in Computer Science is state certified teacher and/or alternatively certified CRE ...

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$60.7K

$95.5K

How much do remote library & information science jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote library & information science in Texas is $60,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $69,900.00 per year, depending on experience, location, and employer.

What is a Remote Library & Information Science job?

A Remote Library & Information Science job involves managing, organizing, and providing access to information resources in a digital or virtual environment. Professionals in this field work remotely to support libraries, archives, research institutions, or corporations by cataloging materials, conducting research, and assisting users with information retrieval. They may also manage digital repositories, develop metadata standards, or provide virtual reference services. These roles require strong information management skills, proficiency in digital tools, and the ability to work independently.

What are the key skills and qualifications needed to thrive in the Remote Library & Information Science position, and why are they important?

To thrive in a Remote Library & Information Science role, you should have a strong background in information management, research, organization, and librarianship, usually supported by an MLS/MLIS degree. Familiarity with library management systems (e.g., Koha, Alma), digital resource platforms, and online databases is often required, and certifications such as Certified Information Professional (CIP) can be advantageous. Strong communication, self-motivation, and problem-solving skills help you excel in a remote environment and collaborate virtually with teams or patrons. These abilities ensure efficient information delivery, support user needs, and maintain high service standards despite working remotely.

What does a typical workday look like for someone in a Remote Library & Information Science position?

A typical workday in a remote library and information science role often involves managing digital collections, responding to research inquiries, cataloging resources, and providing virtual reference or support services to users. You may attend virtual meetings, collaborate with academic or organizational teams, and participate in online training or professional development. Communication is typically conducted via email, chat, or video conferencing platforms, and a large portion of your tasks are completed independently with periodic check-ins. Balancing multiple projects and maintaining strong organization skills is key to succeeding in this flexible, digitally-driven environment.

What are popular job titles related to Remote Library & Information Science jobs in Texas? For Remote Library & Information Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Library & Information Science jobs in Texas look for? The top searched job categories for Remote Library & Information Science jobs in Texas are:
What cities in Texas are hiring for Remote Library & Information Science jobs? Cities in Texas with the most Remote Library & Information Science job openings:
Remote Library Information Science jobs near you
Infographic showing various Remote Library & Information Science job openings in Texas as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $60,737 per year, or $29.2 per hour.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Posted 5 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.

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