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Data Science Training Jobs in Georgia (NOW HIRING)

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

R115426Are you passionate about using data science to drive smarter risk decisions and create ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful ... Individuals in this role can also support the development and training of junior staff. A Senior ...

Lead Data Scientist

Atlanta, GA · On-site

$214K/yr

... data science proficiency. \\n How will you contribute? * Collect, analyze, and interpret small ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

... science proficiency. How will you contribute? * Collect, analyze, and interpret small/large ... Lead the design, training, and deployment of NLP and transformer-based models for financial ...

The ideal candidate combines deep data science expertise with strong machine learning engineering ... Develop scalable, repeatable machine learning pipelines supporting model training, validation ...

Data Scientist

Atlanta, GA · On-site

$90K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... training and experience that translates directly to paid employment. You will receive credit for ...

Data Scientist

Atlanta, GA · On-site

$90K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... training and experience that translates directly to paid employment. You will receive credit for ...

Data Scientist II

Atlanta, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Epidemiologist Data Scientist

Atlanta, GA

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... and training, security clearances, licensure and certifications, and other business and ...

Showing results 21-40

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 Aug 15, 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.

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

To get a job in data science training with no experience, focus on building foundational knowledge through online courses, certifications, and practical projects. Developing strong communication skills and familiarity with tools like Python, R, or SQL can also improve your chances, and gaining experience through internships or volunteering can help demonstrate your expertise to employers.

What is data science training?

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 training do you need to be a data scientist?

To become a data scientist, you typically need a strong foundation in mathematics, statistics, and programming, often gained through a bachelor's degree in a related field such as computer science, mathematics, or engineering. Many data scientists also pursue advanced degrees like a master's or Ph.D., and proficiency in tools such as Python, R, SQL, and machine learning frameworks is essential. Additionally, practical experience through projects, internships, or certifications can enhance job prospects.

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.

What are the key skills and qualifications needed to thrive in data science training, 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.

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 cities in Georgia are hiring for Data Science Training jobs?

Cities in Georgia with the most Data Science Training job openings:

Infographic showing various Data Science Training job openings in Georgia as of August 2026, with employment types broken down into 67% Full Time, 11% Part Time, 4% Temporary, and 18% Contract. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $80,903 per year, or $38.9 per hour.

$49K/yr

Full-time, Part-time

Re-posted 10 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER