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Neural Science Jobs Near Me

Demonstrated experience with common data science methodologies including decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling. * Effective communication ...

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Neuroscience Tutor

Columbus, OH · Remote

$18 - $40/hr

Skilled at breaking down ion channel dynamics, synaptic integration, and neural circuit analysis ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI ...

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Neural Science information

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How much do neural science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for neural science in the United States is $104,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $158,000.00 per year, depending on experience, location, and employer.
A map of the United States highlighting the number of Neural Science job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Neural Science job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Scientist

ComResource

Columbus, OH

Full-time

Posted 17 hours ago

Posted today


Job description

ComResource is looking for a Data Scientist.

Responsibilities:

  • Develop and validate predictive and prescriptive models using advanced analytical techniques including machine learning, statistical modeling, optimization, and simulation.
  • Perform rigorous feature engineering, iterative model improvement, and implement A/B testing strategies.
  • Deploy models into production environments adhering to best practices in DevOps, including documentation, version control, and continuous integration.
  • Conduct regular monitoring and maintenance of models, addressing performance degradation and proactively updating based on new data or evolving business needs.
  • Collaborate with Data Engineers and MLOps professionals to ensure seamless integration and operational reliability of deployed models.
  • Actively engage with cross-functional team members including business analysts, data engineers, architects, product management, and subject matter experts to align analytics solutions to strategic goals.
  • Mentor junior team members, conduct code reviews, and contribute to team skill development.
  • Evaluate emerging technologies and analytical tools and recommend adoption when beneficial.

Essentials:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics, Information Systems, or a related quantitative field.
  • 3–5 years of practical experience in advanced analytics, predictive modeling, and feature engineering.
  • Strong programming proficiency in Python and SQL, and familiarity with scripting languages such as Bash or PowerShell.
  • Experience deploying models using DevOps methodologies including CI/CD, containerization, and version control with Git.
  • Demonstrated experience with common data science methodologies including decision trees, neural networks, regression, time-series analysis, PCA, and ensemble modeling.
  • Effective communication skills with the ability to clearly present complex insights to technical and non-technical stakeholders.
  • Understanding of data governance, privacy, and ethical considerations in data handling.

Desired:

  • Master's degree or relevant professional certifications.
  • Familiarity with cloud services including Oracle Cloud Infrastructure (OCI) and experience in multi-cloud environments such as AWS, Azure, or GCP.
  • Experience with model-drift detection and automated monitoring solutions.

Req ID: RB41579983