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Junior Data Science Neuroscience Jobs in Decatur, GA

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

... and develop junior data scientists. • Collaborate with cross-functional teams including product managers, engineers, and business leaders. • Build evaluation frameworks to measure LLM ...

Mentor junior data scientists and analysts * Contribute to best practices and data science ... methodologies * Stay current with emerging tools, technologies, and industry trends Required ...

Qualified candidates will have a passion for data science, mathematics, statistics, AI/Machine ... Serve as a technical leader and mentor for junior data scientists and analysts, conducting code ...

This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and ...

... junior data scientists and contribute to the growth and development of the data science team. • ... Work Experience And Education Requirements • Master's degree in Computer Science, Statistics ...

Junior Data Engineer AMAT Atlanta, Georgia, United States Job ID: 526313 CRH's Americas Materials ... Qualifications Education Bachelor's degree in Computer Science, Information Systems, Data ...

Mentor and develop junior data scientists. * Collaborate with cross-functional teams including product managers, engineers, and business leaders. * Build evaluation frameworks to measure LLM ...

Junior Data Engineer AMAT Atlanta, Georgia, United States Job ID: 526313 CRH's Americas Materials ... Qualifications Education • Bachelor's degree in Computer Science, Information Systems, Data ...

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

Mentor and guide junior data scientists, fostering a culture of excellence and continuous learning within the team. * Collaborate with cross-functional teams (engineering, product, business ...

After influencing scope and prioritizing the analytics pipeline, you will assist in leading the technical execution of data science projects directing daily work of junior data scientists and will be ...

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Junior Data Science Neuroscience information

See Decatur, GA salary details

$28.8K

$65.1K

$115.7K

How much do junior data science neuroscience jobs pay per year?

As of Aug 20, 2026, the average yearly pay for junior data science neuroscience in Decatur, GA is $65,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $73,200.00 per year, depending on experience, location, and employer.

What is a junior data science neuroscience?

A Junior Data Science Neuroscience role involves applying data science techniques to analyze and interpret complex neuroscience data. Professionals in this position typically work with large datasets from brain imaging, electrophysiology, or behavioral experiments to uncover patterns and insights about brain function. They often use programming languages like Python or R, statistical analysis, and machine learning algorithms under the supervision of senior scientists or data analysts. This role is ideal for early-career individuals with a background in neuroscience, data science, or a related field.

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

A Junior Data Science Neuroscience professional should have a solid background in neuroscience or a related field, combined with proficiency in statistics, data analysis, and programming (typically Python or R). Experience with data visualization tools, machine learning libraries, and familiarity with neuroimaging software (such as SPM, FSL, or AFNI) are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex datasets and collaborating across interdisciplinary teams. These skills are essential for extracting meaningful insights from neurological data and advancing research or clinical applications.

What types of projects and collaborations can a junior data scientist expect in a neuroscience research team?

As a Junior Data Scientist in a neuroscience setting, you will typically work on projects that involve processing and analyzing large datasets, such as brain imaging or neural signal recordings. You can expect to collaborate closely with neuroscientists, clinicians, and senior data scientists to interpret results and contribute to experimental design. Your daily tasks may include data cleaning, statistical analysis, and developing machine learning models to uncover patterns related to brain function or disease. This role often offers excellent opportunities for learning and mentorship, as well as potential for growth into specialized or leadership positions as you gain experience.

What are popular job titles related to Junior Data Science Neuroscience jobs in Decatur, GA?

For Junior Data Science Neuroscience jobs in Decatur, GA, the most frequently searched job titles are:

What job categories do people searching Junior Data Science Neuroscience jobs in Decatur, GA look for?

The top searched job categories for Junior Data Science Neuroscience jobs in Decatur, GA are:

What cities near Decatur, GA are hiring for Junior Data Science Neuroscience jobs?

Cities near Decatur, GA with the most Junior Data Science Neuroscience job openings:

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Re-posted 25 days ago


Job description

Job ID: 65041
Data Scientist
Client: City of Atlanta- Aviation
Duration: 
Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320
Onsite
 
General Description and Classification Standards 
The Data Scientist is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.
Supervision Received 
Works under minimal supervision. May work independently with responsibility for specific functions or programs. Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts.
Essential Duties & Responsibilities 
  • Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
  • Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.
  • Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.
  • Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives.
  • Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.
  • Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.
  • Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements.
  • Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.
  • Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.
  • Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.
  • Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.
Essential Duties & Responsibilities 
Support:
·    Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
·    Ensure compliance with data governance and security standards.
·    Provide recommendations for improving data infrastructure and processes to increase business efficiency.
·    Deliver ongoing support for mission-critical business functions through data-driven strategies.
·    Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Making 
  • Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks.
  • Selects appropriate data science methodologies and tools to achieve business goals.
  • Exercises judgment in balancing short-term project deliverables with long-term data strategy.
  • Influences business decisions by providing actionable insights based on thorough data analysis.
Leadership Provided
  • Serves as a technical resource or mentor to other employees. May lead or instruct less experienced workers in high level or technical jobs.
  • Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members.
  • Contributes to the strategic direction of the data science function within the organization.
  • Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure.
Knowledge, Skills & Abilities 
  • Technical Expertise: Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Data Infrastructure: Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Problem-Solving: Ability to design and implement innovative solutions to complex problems, leveraging data to drive business improvements.
  • Communication: Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Collaboration: Proven ability to work across departments and manage multiple projects or tasks concurrently.
  • Leadership: Experience leading and mentoring teams, guiding them toward achieving technical excellence.
  • Security and Compliance: Familiarity with data security best practices, ensuring compliance with industry standards.
Non-Technical Skills
  • Project Management: Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality.
  • Self-Motivation: Uses initiative and independent judgment to undertake activities with minimal supervision.
  • Adaptability: Responds constructively to new information, changing conditions, and unexpected challenges.
  • Customer Service: Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders.
 
Qualifications:
 Minimum Qualifications
Education and Experience 
  • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered.
  • Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models.
Preferred Education & Experience
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field.
  • Experience in leading data science teams or large-scale projects within an enterprise setting.
  • Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment.
  • Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions.
  • Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights.
  • Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)..
Certifications
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable