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Junior Data Scientist Jobs in Decatur, GA (NOW HIRING)

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 ...

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

Mentorship: * Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools ...

... junior data scientists and contribute to the growth and development of the data science team. โ€ข Communicate complex technical concepts and findings to non-technical stakeholders through clear and ...

Provide guidance and mentorship to junior data scientists and analysts to support team development. 13. Continuous Learning: * Stay updated on the latest data science tools, trends, and best ...

Senior Data Scientist I

Alpharetta, GA ยท On-site +1

$127K - $158K/yr

Offer mentor support to more junior Data Scientist. Perform other duties as needed. REQUIREMENTS: * Master's degree (or foreign equivalent) in Actuarial Science, Mathematics, Statistics, Computer ...

Senior Data Scientist I

Alpharetta, GA ยท On-site +1

$127K - $158K/yr

Offer mentor support to more junior Data Scientist. Perform other duties as needed. REQUIREMENTS: * Master\'s degree (or foreign equivalent) in Actuarial Science, Mathematics, Statistics, Computer ...

Senior Data Scientist I

Alpharetta, GA ยท On-site

$127K - $158K/yr

Offer mentor support to more junior Data Scientist. Perform other duties as needed. REQUIREMENTS: * Master's degree (or foreign equivalent) in Actuarial Science, Mathematics, Statistics, Computer ...

Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists. * Drive technical excellence ...

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation, collaboration, and continuous learning. * Provide technical leadership and guidance on analytical ...

Lead Data Scientist

Atlanta, GA ยท On-site

$163K - $204K/yr

In this high-impact individual contributor role, you will set the standard for technical excellence, architect scalable data science frameworks, and mentor junior data scientists, all while solving ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ... Provide guidance to junior team members on model development and EDA * Work with Product Manager(s ...

This is NOT a junior position nor a developer role , it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions ...

Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry ...

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Junior Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do junior data scientist jobs pay per year?

As of Jun 23, 2026, the average yearly pay for junior data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Scientist vs Data Analyst?

AspectJunior Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and advanced analyticsFocuses on data cleaning, visualization, and reporting; often works with business teams
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Junior Data Scientists and Data Analysts often share educational backgrounds and work in data-driven industries. However, Junior Data Scientists typically engage in more complex modeling and machine learning tasks, while Data Analysts focus on data visualization and reporting. Both roles are essential for data teams but differ in technical depth and responsibilities.

What are the key skills and qualifications needed to thrive as a Junior Data Scientist, and why are they important?

A Junior Data Scientist needs a solid understanding of statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn), and database systems (SQL) is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help distinguish individuals in this role. These competencies are essential for extracting insights from data, collaborating with teams, and driving data-informed decision-making.

What types of projects do Junior Data Scientists typically work on, and how do they contribute to larger team goals?

Junior Data Scientists often work on data cleaning, exploratory data analysis, and supporting the development and testing of machine learning models. They usually collaborate with senior data scientists and data engineers, contributing by preparing datasets, running analyses, and creating visualizations to help inform business decisions. This role offers valuable exposure to real-world data challenges and provides opportunities to learn best practices in data science, paving the way for advancement to more complex modeling and project leadership as experience grows.

What are Junior Data Scientists?

Junior Data Scientists are entry-level professionals who assist in analyzing and interpreting complex data to help organizations make informed decisions. They are typically responsible for tasks such as data cleaning, exploratory data analysis, creating basic models, and supporting senior data scientists. Junior Data Scientists often work with tools like Python, R, SQL, and data visualization libraries. They collaborate with other team members to translate business problems into analytical solutions and continuously develop their technical and analytical skills.
What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Junior Data Scientist jobs in Decatur, GA? For Junior Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Junior Data Scientist jobs in Decatur, GA look for? The top searched job categories for Junior Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Junior Data Scientist jobs? Cities near Decatur, GA with the most Junior Data Scientist job openings:
Infographic showing various Junior Data Scientist job openings in Decatur, GA as of June 2026, with employment types broken down into 2% Locum Tenens, 74% Full Time, 20% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Data Scientist

nLeague Services Inc

Atlanta, GA โ€ข On-site

Contractor

Posted 27 days ago


Job description

Job ID: 65041
Data Scientist
Client: City of Atlanta- Aviation
Duration:ย 
Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320
Onsite
ย 
General Description and Classification Standardsย 
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 Receivedย 
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 & Responsibilitiesย 
  • 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 organizationโ€™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 & Responsibilitiesย 
Support:
ยทย ย  ย Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
ยทย ย  ย Ensure compliance with data governance and security standards.
ยทย ย  ย Provide recommendations for improving data infrastructure and processes to increase business efficiency.
ยทย ย  ย Deliver ongoing support for mission-critical business functions through data-driven strategies.
ยทย ย  ย Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Makingย 
  • 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 & Abilitiesย 
  • 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.
ย 
Qualifications:
ย Minimum Qualifications
Education and Experienceย 
  • Education: Bachelorโ€™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
  • Masterโ€™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