Data Scientist 3
Birmingham, AL · On-site
... neural networks to predict trends, behaviors, and outcomes. • Create compelling data ... Lead feature engineering efforts to identify and select critical data features, enhancing the ...
Data Scientist 3
Birmingham, AL · On-site
... neural networks to predict trends, behaviors, and outcomes. • Create compelling data ... Lead feature engineering efforts to identify and select critical data features, enhancing the ...
1994 Cleared AI/ML Specialist (Top Secret) with Security Clearance
Huntsville, AL · On-site
$16 - $21.25/hr
The All Points Systems Engineering and Integration Team is seeking a US DoD Top Secret Cleared ... neural networks, Bayesian belief networks, decision trees) to complex technical or analytical ...
1994 Cleared AI/ML Specialist (Top Secret) with Security Clearance
Huntsville, AL · On-site
$16 - $21.25/hr
The All Points Systems Engineering and Integration Team is seeking a US DoD Top Secret Cleared ... neural networks, Bayesian belief networks, decision trees) to complex technical or analytical ...
AI & GenAI Data Scientist-Senior Associate
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...
New
AI & GenAI Data Scientist-Senior Associate
$77K - $202K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... neural network design and reinforcement learning agents - Applying natural language processing ...
New
SCIENTIST III
Birmingham, AL · On-site
Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC ... Deep proficiency with modern machine learning, including deep learning, transformers, graph neural ...
SCIENTIST III
Birmingham, AL · On-site
Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC ... Deep proficiency with modern machine learning, including deep learning, transformers, graph neural ...
Machine Learning Tutor
Birmingham, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Birmingham, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Huntsville, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Huntsville, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Montgomery, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Montgomery, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Tuscaloosa, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Machine Learning Tutor
Tuscaloosa, AL · Remote
$18 - $40/hr
Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... neural network architectures while preparing students for data science roles and advanced AI ...
Data Scientist
Birmingham, AL · Hybrid
Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ... neural networks. * Prior experience working with AWS is a plus. * Some experience with natural ...
Data Scientist
Birmingham, AL · Hybrid
Proficient in Python programming language (scikit-learn, pandas, numpy, scipy, etc.). * Proficiency ... neural networks. * Prior experience working with AWS is a plus. * Some experience with natural ...
Neural Engineering information
See Alabama salary details
$10.02 - $11.55
2% of jobs
$11.55 - $13.07
4% of jobs
$14.60 is the 25th percentile. Wages below this are outliers.
$13.07 - $14.60
19% of jobs
$14.60 - $16.12
24% of jobs
The median wage is $16.22 / hr.
$16.12 - $17.65
17% of jobs
$18.56 is the 75th percentile. Wages above this are outliers.
$17.65 - $19.17
16% of jobs
$19.17 - $20.70
6% of jobs
$20.70 - $22.22
5% of jobs
$22.22 - $23.75
3% of jobs
$23.75 - $25.27
3% of jobs
$25.27 - $26.80
1% of jobs
$10
$17
$26
How much do neural engineering jobs pay per hour?
As of Aug 7, 2026, the average hourly pay for neural engineering in Alabama is $17.51, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $18.94 per hour, depending on experience, location, and employer.
What is neural engineering?
Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.
What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?
To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.
Is neural engineering a good career?
Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.
What can you do with a neural engineering degree?
A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.
What are jobs in neural engineering?
Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.
What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?
Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
More about Neural Engineering jobs
What are popular job titles related to Neural Engineering jobs in Alabama? For Neural Engineering jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Alabama look for? The top searched job categories for Neural Engineering jobs in Alabama are:
What cities in Alabama are hiring for Neural Engineering jobs? Cities in Alabama with the most Neural Engineering job openings:
Job description
Job Summary:
Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling, and collaboration with cross-functional teams to drive data initiatives and mentor junior staff.
Responsibilities:
• Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
• Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
• Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
• Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
• Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.
• Lead the development of machine learning algorithms and their optimization to solve complex business problems.
• Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
• Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
• Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
• Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
• Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
• Provide mentorship and guidance to junior data scientists, fostering their growth and development.
• Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long term data strategy.
• Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Qualifications:
Required:
• 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data driven decision-making
• Proficiency in data analysis tools and programming languages such as Python, R, or Julia
• Expert knowledge of machine learning algorithms and their applications
• Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn)
• Profound understanding of databases and data manipulation using SQL
• Outstanding problem-solving and critical thinking abilities
• Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders
• Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
• Expertise in data ethics, privacy, and compliance considerations
Preferred:
• Master's or Ph.D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering)
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and machine learning to inform business decisions. The role involves data analysis, predictive modeling, and collaboration with cross-functional teams to drive data initiatives and mentor junior staff.
Responsibilities:
• Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques.
• Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes.
• Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations.
• Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models.
• Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions.
• Lead the development of machine learning algorithms and their optimization to solve complex business problems.
• Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses.
• Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications.
• Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements.
• Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives.
• Collaborate closely with cross functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals.
• Provide mentorship and guidance to junior data scientists, fostering their growth and development.
• Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long term data strategy.
• Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating new technologies to improve data science practices.
Qualifications:
Required:
• 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data driven decision-making
• Proficiency in data analysis tools and programming languages such as Python, R, or Julia
• Expert knowledge of machine learning algorithms and their applications
• Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn)
• Profound understanding of databases and data manipulation using SQL
• Outstanding problem-solving and critical thinking abilities
• Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders
• Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
• Expertise in data ethics, privacy, and compliance considerations
Preferred:
• Master's or Ph.D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering)
Company:
Mindlance is a Staffing and Recruiting company which provides multi-vertical staffing services Founded in 1999, the company is headquartered in Union, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About Mindlance
Sourced by ZipRecruiter
Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.
Industry
Recruiting and staffing services
Company size
1,001 - 5,000 Employees
Headquarters location
Union, NJ, US
Year founded
1999