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Data Science Boot Camp Jobs in Georgia (NOW HIRING)

Sheltering Arms

Family Engagement Manager

Atlanta, GA · On-site

Lead PLO Boot Camp workshops to strengthen parent leadership. * Encourage and support parent-led ... Analyze family engagement data and report findings to the Sr. Director. * Assist in federal ...

Synechron

Core JavaDeveloper

Alpharetta, GA · On-site

$100K - $115K/yr

... Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 ... Spring Framework; extensive experience with Spring Boot, Spring Data, Spring Cloud, and related ...

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How much do data science boot camp jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data science boot camp in Georgia is $32.58, according to ZipRecruiter salary data. Most workers in this role earn between $14.21 and $48.44 per hour, depending on experience, location, and employer.

What is a data science boot camp?

A Data Science Boot Camp is an intensive, short-term training program designed to teach participants the foundational skills and practical tools needed to start a career in data science. These programs typically cover topics such as programming in Python or R, data analysis, machine learning, statistics, and data visualization. Unlike traditional degree programs, boot camps focus on hands-on projects and real-world applications to help students build a portfolio. Many boot camps also offer career support, including resume reviews and interview preparation. They are ideal for individuals looking to transition into data science or enhance their skill set quickly.

What jobs can you get after a data science boot camp?

Graduates of a data science boot camp can pursue roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. These positions typically require skills in programming languages like Python or R, data visualization, statistical analysis, and experience with tools like SQL and Tableau.

What is the difference between Data Science Boot Camp vs Data Analyst?

AspectData Science Boot CampData Analyst
CredentialsIntensive training, certificates, no formal degree requiredOften requires a bachelor's degree in related fields
Work EnvironmentProject-based, fast-paced learning environmentOffice setting, routine data reporting
Industry UsagePrepares for entry-level data roles, tech startups, consultingBusiness, finance, healthcare, government sectors

The Data Science Boot Camp provides intensive, short-term training focused on technical skills like coding, machine learning, and data manipulation, ideal for those seeking quick entry into data roles. Data Analysts typically have formal degrees and focus on interpreting data, creating reports, and supporting business decisions. Both roles are in demand across industries, but the Boot Camp is more geared toward rapid skill acquisition for tech-driven roles, while Data Analysts often have a broader educational background and focus on data interpretation.

How do I get a job in data science with no experience?

To get a data science job with no experience, focus on building relevant skills such as programming in Python or R, understanding statistics, and working with data tools like SQL and machine learning libraries. Completing a data science boot camp, creating a portfolio of projects, and gaining practical experience through internships or freelance work can improve your chances. Certifications and continuous learning also help demonstrate your commitment and knowledge to employers.

What are the key skills and qualifications needed to thrive in a data science boot camp, and why are they important?

To thrive in a Data Science Boot Camp, you need a solid understanding of statistics, programming (typically Python or R), and basic data analysis concepts, often supported by a relevant degree or foundational coursework. Familiarity with tools like Jupyter Notebook, SQL, and libraries such as pandas, scikit-learn, and TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help participants collaborate and interpret data-driven insights. These skills and qualities are crucial for successfully mastering complex topics and transitioning to real-world data science roles.

What are some common challenges students face during a data science boot camp, and how can they overcome them?

Students in a Data Science Boot Camp often encounter challenges such as managing a fast-paced learning schedule, grasping complex concepts like machine learning algorithms, and effectively collaborating on group projects. To overcome these, it's important to stay organized, regularly review material, and actively participate in discussions and coding exercises. Building a support network with peers and seeking guidance from instructors can also help in navigating difficult topics and maintaining motivation throughout the program.

Is a data science boot camp enough to get a job?

A data science boot camp can provide foundational skills in programming, statistics, and tools like Python and SQL, which are valuable for entry-level data science roles. However, securing a job often also depends on prior experience, portfolio projects, networking, and continuous learning beyond the boot camp.
What are popular job titles related to Data Science Boot Camp jobs in Georgia? For Data Science Boot Camp jobs in Georgia, the most frequently searched job titles are:
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What cities in Georgia are hiring for Data Science Boot Camp jobs? Cities in Georgia with the most Data Science Boot Camp job openings:
Data Science Boot Camp jobs near you

Java Spring Boot AI Integration Developer - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49.75 - $64.50/hr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Java Spring Boot AI Integration Developer
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a skilled Java Spring Boot AI Integration Developer to design and develop Java-based microservices with integrated AI/ML capabilities. This role focuses on leveraging Spring Boot and APIs to build intelligent applications for diverse business needs.
Key Responsibilities
  • Develop and deploy Java-based applications with integrated AI/ML models using Spring Boot.
  • Integrate AI/ML models into microservices via REST APIs, WebSockets, and event-driven architectures like Kafka.
  • Optimize scalability and performance of AI-driven applications in containerized environments (Docker, Kubernetes).
  • Collaborate with data science teams to enhance AI model performance, deployment, and lifecycle management.
  • Ensure adherence to best practices in software design, security, and scalability across API integrations.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience with Java and Spring Boot development for microservices.
  • Hands-on experience consuming AI/ML models via APIs (e.g., TensorFlow, PyTorch, OpenAI).
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Experience with RESTful APIs and event-driven systems in production environments.

Preferred Qualifications
  • Experience with Large Language Models (LLMs) or NLP frameworks like HuggingFace.
  • Knowledge of machine learning workflows and AI model lifecycle management (training, deployment, monitoring).
  • Exposure to cloud platforms (AWS, Azure, GCP) for AI deployment and microservices hosting.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
REST APIs, WebSockets, and event-driven services,Java-based AI-enabled applications,Java and Spring Boot

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