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Remote Data Science Neuroscience Jobs in Texas (NOW HIRING)

Toyota

Data Scientist

Plano, TX · On-site +1

... and remote work on Fridays Who we're looking for: Toyota Financial Services is seeking highly ... This role is ideal for someone who will thrive working at the intersection of computational science ...

2U

Data Scientist II

Crystal City, TX · On-site +1

Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics ... While this position is open to remote candidates across the U.S., we will prioritize those who live ...

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 ...

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Remote Data Science Neuroscience information

What is a remote data science neuroscience?

A Remote Data Science Neuroscience job involves using data science techniques, such as machine learning and statistical analysis, to interpret and analyze neuroscience data while working from a remote location. Professionals in this role typically work with large datasets from brain imaging, electrophysiology, or behavioral studies to uncover insights about brain function and neurological diseases. These positions require strong programming skills, knowledge of neuroscience concepts, and the ability to collaborate virtually with research teams. The remote aspect allows for flexibility in work location, making it accessible to a broader range of candidates.

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

To thrive as a Remote Data Science Neuroscience professional, you need a background in neuroscience and statistics, strong programming skills (especially in Python or R), and experience with data analysis techniques. Familiarity with tools such as machine learning frameworks (e.g., TensorFlow or scikit-learn), neuroimaging software (like SPM or FSL), and cloud-based collaboration platforms is typically required. Exceptional problem-solving, communication, and self-motivation are crucial for effectively working with interdisciplinary teams in a remote setting. These skills and qualities ensure accurate data interpretation, effective research collaboration, and successful project delivery in a complex and evolving field.

How do remote data science neuroscience professionals typically collaborate with multidisciplinary teams?

Remote data science professionals in neuroscience often work closely with neuroscientists, clinicians, and software engineers, using digital tools to facilitate communication and project management. Collaboration usually occurs through regular virtual meetings, shared data repositories, and collaborative coding platforms. This setup requires strong communication skills and the ability to translate complex analytical findings into actionable insights for team members from diverse backgrounds. Building strong virtual relationships and maintaining clear documentation are key to ensuring project success and smooth cross-functional collaboration.

What are the most commonly searched types of Data Science Neuroscience jobs in Texas?

The most popular types of Data Science Neuroscience jobs in Texas are:

What are popular job titles related to Remote Data Science Neuroscience jobs in Texas?

For Remote Data Science Neuroscience jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Neuroscience jobs in Texas look for?

The top searched job categories for Remote Data Science Neuroscience jobs in Texas are:

What cities in Texas are hiring for Remote Data Science Neuroscience jobs?

Cities in Texas with the most Remote Data Science Neuroscience job openings:

Remote Data Science Neuroscience jobs near you
Infographic showing various Remote Data Science Neuroscience job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 26 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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