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Data Science Training Jobs in Georgia (NOW HIRING)

LexisNexis

Senior Data Scientist II

Alpharetta, GA · On-site

Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions. * Experience in applying software engineering best practices to data science ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training * Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training * Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Card Fraud Data Scientist II

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Data Scientist II

Atlanta, GA

... Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Data Scientist II

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training * Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

Truist

Data Scientist I - Card Fraud

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training * Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

... model training, evaluation, and deployment. • Stay up-to-date with the latest research and ... Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science ...

GAINSystems

Applied Data Scientist

Atlanta, GA · On-site

You will own ML projects end-to-end-the science and the engineering. A Day in the Life * Research ... Experience building and maintaining ML pipelines-data ingestion, feature engineering, training ...

Truist

Fraud Data Scientist II

Atlanta, GA · On-site

... Science, or Engineering, or equivalent education and related training 2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA

... model training, evaluation, and deployment. · Stay up-to-date with the latest research and ... Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

... model training, evaluation, and deployment. · Stay up-to-date with the latest research and ... Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

... science solutions on AWS * Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR * Perform advanced data analysis, feature engineering, model training, and ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

... science solutions on AWS * Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR * Perform advanced data analysis, feature engineering, model training, and ...

United Airlines

AWS Data Scientist

Atlanta, GA

$85K - $105K/yr

... science solutions on AWS * Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR * Perform advanced data analysis, feature engineering, model training, and ...

United Airlines

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

... science solutions on AWS * Build end-to-end ML pipelines using AWS services such as SageMaker, Lambda, EC2, and ECR * Perform advanced data analysis, feature engineering, model training, and ...

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All JobsData Science Training JobsData Science Training Jobs in Georgia

Data Science Training information

See Georgia salary details

$19.1K

$80.9K

$151.7K

How much do data science training jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data science training in Georgia is $80,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,242.00 and $95,701.00 per year, depending on experience, location, and employer.

What is a Data Science Training job?

A Data Science Training job involves teaching and guiding individuals or teams in data science concepts, tools, and techniques. Trainers design curricula, conduct workshops, and provide hands-on experience with programming languages like Python or R, machine learning, and data visualization. They may work for educational institutions, corporate training programs, or independently to upskill professionals. The goal is to equip learners with the skills needed to analyze data, build models, and make data-driven decisions.

What are the typical responsibilities of a professional in Data Science Training?

Individuals in Data Science Training roles are responsible for developing, organizing, and delivering curriculum on topics such as data analysis, machine learning, and data visualization. They often lead workshops, create interactive tutorials, and provide one-on-one guidance to learners from diverse backgrounds. Collaboration with data science teams and subject matter experts to ensure training content is current and industry-relevant is common. Additionally, professionals assess learner progress and adapt materials to continuously improve the educational experience. This role is ideal for those passionate about teaching and staying at the forefront of new data science advancements.

Is AI replacing data scientists?

Data scientists analyze data, develop models, and create insights using tools like machine learning and programming languages such as Python or R. While AI automates some tasks, data scientists are needed to interpret results, design models, and address complex problems that require domain expertise and critical thinking. AI complements their work but does not fully replace the role of a data scientist.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $110,000 annually, depending on location, industry, and company size. Skills in machine learning, programming, and data analysis tools like Python or R can influence salary levels.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What are the key skills and qualifications needed to thrive in the Data Science Training position, and why are they important?

To excel in Data Science Training roles, you need a solid foundation in data analysis, statistical modeling, and expertise with programming languages like Python or R, often supported by a degree in data science or a related field. Familiarity with tools such as Jupyter Notebooks, SQL, machine learning platforms, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are highly valued. Excellent communication, patience, and instructional skills help convey complex topics clearly and foster a collaborative learning environment. These combined skills are essential for effectively designing and delivering training that empowers learners to succeed in the rapidly evolving field of data science.

Can I get a data scientist job with no experience?

Entering a data scientist role typically requires relevant skills in programming, statistics, and data analysis, often gained through coursework, projects, or certifications. While some entry-level positions may be available to candidates with minimal experience, most employers prefer candidates with practical experience or a strong portfolio demonstrating their abilities.
What are the most commonly searched types of Data Science Training jobs in Georgia? The most popular types of Data Science Training jobs in Georgia are:
What are popular job titles related to Data Science Training jobs in Georgia? For Data Science Training jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Training jobs in Georgia look for? The top searched job categories for Data Science Training jobs in Georgia are:
What cities in Georgia are hiring for Data Science Training jobs? Cities in Georgia with the most Data Science Training job openings:
Data Science Training jobs near you
Infographic showing various Data Science Training job openings in Georgia as of June 2026, with employment types broken down into 3% As Needed, 75% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $80,903 per year, or $38.9 per hour.

Senior Data Scientist II

LexisNexis

Alpharetta, GA • On-site

Full-time

Medical, Life

Posted 15 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

150th of 428 rated business services

Job description

Do you thrive in senior, hands-on data science roles where you apply deep healthcare domain expertise, influence technical decisions, and translate advanced models into real-world impact?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Insurance vertical, we provide customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. Our insurance risk solutions help drive better data-driven decisions across the insurance policy lifecycle all while reducing risk. You can learn more about LexisNexis Risk at the link below.
https://risk.lexisnexis.com/insurance
About the Team:
You'll join a collaborative, high-impact analytics team that partners closely with product, engineering, and business leaders to turn complex data into trusted, production-ready insights that drive smarter decisions across the insurance lifecycle.
About the Role:
The Senior Data Scientist II develops and implements analytics and AI solutions that support business and product objectives across LexisNexis Risk Solutions. This role independently executes complex analytical work, translating well defined problem statements into scalable machine learning solutions across the full modeling lifecycle.
This position is intentionally AI forward, suited for a practitioner with hands on experience building, operationalizing, and integrating models into production systems. The Senior Data Scientist II collaborates closely with engineering, product, and platform teams and communicates analytical insights to both technical and non technical stakeholders.
Key Responsibilities:
  • Design, build, and implement machine learning and statistical models to support analytics and AI use cases.
  • Independently execute complex analytical projects within defined scope, including data exploration, feature engineering, modeling, and evaluation.
  • Contribute to end-to-end AI solutions, supporting data pipelines, model training, inference, and integration with downstream systems.
  • Support the development and integration of model inference services and APIs that enable real-time or near-real-time AI workflows.
  • Operationalize models in production or near-production environments, following established engineering and analytics best practices.
  • Collaborate with engineering and platform teams on APIs, services, and analytics infrastructure.
  • Develop reusable analytical components that support scalability and maintainability.
  • Participate in technical design discussions and code reviews, reinforcing team standards and best practices.
  • Communicate analytical results, model performance, and limitations to internal stakeholders.
  • Support model monitoring, documentation, validation, and ongoing improvement activities.

Requirements:
  • Proven Data Science experience, Advanced academic experience-such as a Master's degree or Doctoral degree in a related discipline-may substitute for part of the required experience
  • Solid experience in applying machine learning and statistical techniques to real-world problems.
  • Hands-on experience developing, evaluating, and iterating on predictive and machine learning models.
  • Experience evaluating model performance using appropriate statistical and machine learning metrics and validation techniques.
  • Experience working with structured and unstructured data at scale.
  • Proficiency in Python and/or R using common data science and machine learning libraries (e.g., pandas, NumPy, scikit-learn, XGBoost, PyTorch).
  • Experience working with SQL and relational or cloud-based data platforms.
  • Hands-on experience developing and running data science and AI workloads in cloud environments such as AWS and Azure, including compute, storage, monitoring, and cost-aware execution.
  • Exposure to modern AI frameworks and tools, including large language model (LLM)-based solutions and retrieval-augmented workflows.
  • Experience training, fine-tuning, or evaluating neural network-based models as part of applied machine learning solutions.
  • Experience in applying software engineering best practices to data science codebases, including testing, code quality checks, and version control workflows.
  • Ability to independently execute complex analytical work within defined scope.
  • Clear and effective communicator, able to explain technical ideas in a way that's easy for non-technical audiences to understand.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
- Life Assurance Policies: Providing financial security for your loved ones.
- Modern Family Benefits: Support for maternity, paternity, and adoption needs.
- Long Service Award: Recognition for your dedication and loyalty.
- Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
- Flexible Benefits Plan : Offering you wider choice of services and products
- Employee Assistance Program : Access support for personal and work-related challenges.
- Flexible Working Arrangements: Balance work and personal life effectively.
- Access to Learning and Development Resources: Empowering your professional growth.
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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