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Remote Data Science H1B Jobs in Texas (NOW HIRING)

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Apply data science skills to analyze large, complex datasets and identify meaningful patterns that ...

Select Minds LLC

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

Must-Have Qualifications: - 10+ years of experience in data science / ML, with substantial work in ... This position is temporarily remote. Compensation: $150,000.00 - $210,000.00 per year About Us We ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Requirements * Bachelor's degree in Computer Science, Information Systems, Engineering, Data ...

USAA

Decision Science Analyst I

San Antonio, TX · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Being curious, proactively digging data for actionable insights * Translates recommendation into ...

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Infographic showing various Remote Data Science H1B job openings in Texas as of August 2026, with employment types broken down into 6% Internship, 72% Full Time, 15% Part Time, and 7% Contract. Highlights an 100% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 12 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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