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Neural Data Scientist Jobs (NOW HIRING)

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... Experience with data science methods related to data architecture, data cleaning, data and feature ...

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks ... Experience with data science methods related to data architecture, data cleaning, data and feature ...

Data Scientist

New York, NY · On-site

$173K - $175K/yr

Building and implementing Neural networks and Deep Learning models. * Performing statistical ... Data Scientist or a related occupation in lieu of a Master's degree plus three (3) years of ...

They are seeking a Data Scientist to develop and implement recommendation systems and utilize ... neural networks, Gen AI, etc.) and assess their real-world advantages and drawbacks. • Apply ...

They are seeking a Senior Data Scientist to develop and implement recommendation systems, apply ... neural networks, Gen AI, etc.) and assess their real-world advantages and drawbacks. • Apply ...

Data Scientist

Plano, TX · On-site

$62 - $67/hr

... methods, neural networks, etc.) * Experience with SQL for data extraction and manipulation ... A track record of applying data science to real business problems, not just academic settings

Syntricate Technologies is seeking a Data Scientist with experience in Generative AI. The role ... Strong understanding of supervised and unsupervised learning, neural networks, transformers • ...

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

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

... methods, neural networks, etc.) * Experience with SQL for data extraction and manipulation ... A track record of applying data science to real business problems, not just academic settings

This role requires deep proficiency in data science methodologies - including logistic regression, clustering, neural networks, deep learning, and natural language processing to develop, refine, and ...

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... Deep Neural Networks. We are an equal opportunity employer and value diversity at our company. We ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in ...

Showing results 21-40

Neural Data Scientist information

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$46K

$165K

$243.5K

How much do neural data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for neural data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Neural Data Scientist jobs?

For Neural Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Neural Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Oklahoma City, OK • On-site

American Fidelity
Insurance Services • 1 - 5K employees

Full-time

Posted 27 days ago


Job description

Job Description:
Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.
Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.
Technical Skills and Requirements:
  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:
Master's degree in related field required.
Location:
This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.
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