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Entry Level Data Scientist Jobs in Georgia (NOW HIRING)

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... The team consists of entry level operators, who may progress to become a Data Center Technician ...

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... The team consists of entry level operators, who may progress to become a Data Center Technician ...

We are looking for a motivated entry-level professional with a strong foundation in Computer Science and a passion for working with data. This role is ideal for recent graduates who have completed ...

Data Engineer

Atlanta, GA ยท On-site +1

$105K - $140K/yr

This is an entry-level role where you will work on well-defined pipeline and data tasks under ... A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Scientist information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do entry level data scientist jobs pay per year?

As of Jul 28, 2026, the average yearly pay for entry level 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 Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Georgia? The most popular types of Data Scientist jobs in Georgia are:
What are popular job titles related to Entry Level Data Scientist jobs in Georgia? For Entry Level Data Scientist jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Georgia look for? The top searched job categories for Entry Level Data Scientist jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data Scientist jobs? Cities in Georgia with the most Entry Level Data Scientist job openings:
Infographic showing various Entry Level Data Scientist job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.
Remote Data Scientist/Analyst (Entry/Junior Level)

Remote Data Scientist/Analyst (Entry/Junior Level)

SynergisticIT

Macon, GA โ€ข On-site

Other

Posted 25 days ago


Job description

Data Career Starter โ€” From Spreadsheets to SQL, Python, and Dashboards If you enjoy working with spreadsheets, reports, patterns, and business questions, a data career may be a natural next step. But to compete for data roles, candidates need to move beyond basic reporting and show technical ability with SQL, Python, dashboards, and data storytelling. SynergisticIT is looking for candidates interested in data analytics, SQL, Python, Excel, Tableau, Power BI, data cleaning, visualization, reporting, and business insights. This opportunity is ideal for recent graduates, career switchers, and professionals who want to move from business operations into data-focused roles. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for data career starters because it helps structure the transition. Candidates can strengthen tool knowledge, build practical projects, prepare for interviews, and position their background in a way that makes sense to hiring managers. Instead of only saying you are interested in data, you can work toward showing proof. Turn your analytical mindset into a data career pathโ€”Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.