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Entry Data Scientist Jobs in Georgia (NOW HIRING)

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

Data Entry (Part-Time)

Atlanta, GA

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

Data Entry (Part-Time)

Atlanta, GA · On-site

$16.25 - $22/hr

... AI/Data Science, Cloud migrations, Cyber-Security, and Engineering. * At Collabera you have 80 ... Problem solving skill Previous Data Entry exp. Timings :: 7am - 5:30pm Sat & Sun 20 hrs Duration ...

... professional, scientific, and technical services and information technology (IT) solutions to ... This includes tasks such as standardizing data entry, data cleaning, data analysis, and data ...

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Showing results 1-20

Entry Data Scientist information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do entry data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for entry data scientist in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What is an entry data scientist?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

What types of projects and responsibilities can an entry data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

What are the key skills and qualifications needed to thrive as an entry data scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

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

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

Can I get an entry data scientist job with no experience?

Entry data scientist roles typically require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is often preferred, candidates with relevant coursework, internships, or strong analytical skills can sometimes qualify for entry-level positions. Building a portfolio of projects and obtaining certifications can improve chances of securing such roles without formal work experience.

How to start a career in data science with no experience?

Entry data scientists can begin by building foundational skills in programming languages like Python or R, and learning data analysis and visualization tools such as SQL and Tableau. Gaining hands-on experience through online courses, tutorials, and personal projects helps demonstrate competence to employers. Earning certifications like those from Coursera or edX can also enhance credibility and improve job prospects.

What cities in Georgia are hiring for Entry Data Scientist jobs?

Cities in Georgia with the most Entry Data Scientist job openings:

Infographic showing various Entry Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.

Data Entry Operator

Insight Global

Brookhaven, GA • On-site

$22/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

Required Skills & Experience


High school diploma or equivalent


Strong attention to detail and consistency


Comfortable working on a computer for extended periods; able to follow standardized processes


Nice to Have Skills & Experience


Experience with data annotation, labeling, QA, or data entry


Coursework or interest in AI, computer vision, or data science


Job Description


About the Role


BPO Annotation Operators perform browser-based annotation and quality control on captured data in Calder's tooling, supporting the development of AI, robotics, and computer-vision models. You will be trained across all three capture modalities.


Responsibilities


Perform annotation and QC on captured data per Calder guidelines


Work in Calder's browser-based annotation tooling


Meet quality and consistency standards; participate in calibration exercises


Support multi-tier QA and flag edge cases for adjudication


Work across iPhone, CalderRig, and Egocentric annotation task types


Duration: 12+ month contract

Multiple Shifts

Pay: $22/hr