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Entry Level Data Science Jobs in Atlanta, GA (NOW HIRING)

Pwc

IT Audit/Controls - Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Atlanta, GA

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

United States Army

Active Entomologist

Atlanta, GA

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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United States Army

Reserve Entomologist

Atlanta, GA

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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All JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Atlanta, GA

Entry Level Data Science information

See Atlanta, GA salary details

$10

$18

$25

How much do entry level data science jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for entry level data science in Atlanta, GA is $18.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.58 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

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 strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

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

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are the most commonly searched types of Data Science jobs in Atlanta, GA? The most popular types of Data Science jobs in Atlanta, GA are:
What are popular job titles related to Entry Level Data Science jobs in Atlanta, GA? For Entry Level Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Atlanta, GA look for? The top searched job categories for Entry Level Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Entry Level Data Science jobs? Cities near Atlanta, GA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Atlanta, GA as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $38,110 per year, or $18.3 per hour.

EDI Data Integration Engineer (Junior Level)

LVT Labs Consulting

Alpharetta, GA • On-site

Full-time

Posted 5 days ago

Job description


We're seeking a highly motivated Junior EDI Data Integration Engineer to support the operational functionality of our EDI/B2B systems, including Sterling Integrator. This entry-level role provides an opportunity for individuals to gain hands-on experience in the dynamic field of data integration and system maintenance. You'll work closely with senior engineers and cross-functional teams to learn and contribute to key operational and support activities.
Key Responsibilities:
  • Provide ongoing support and maintenance forEDI/B2B data exchange systems in line with the Master Services Agreement(MSA)
  • Assist in onboarding and transition services fornew clients, partners, and environments
  • Help maintain and update key documentation suchas:
    • Standard Operating Procedures (SOPs)
    • Onboarding and Offboarding Tracker
    • Operational, Incident, Change, and GovernanceReports
    • Weekly Status Reports and Metrics Reports
    • Monthly Dashboards, RCA, and Outage Reports
  • Monitor incident and service requests andescalate to senior engineers when necessary
  • Assist in troubleshooting and resolving systemincidents within SLAs
  • Participate in software release cycles, includingcoordinating testing and validating changes
  • Conduct proactive system maintenance, includingpatching and configuration updates
  • Collaborate with the wider team to analyze anddocument system requirements and processes
  • Coordinate with vendors and internal teams toresolve escalated incidents
  • Support the tracking of incidents and contributeto reporting activities

Requirements
What You Bring:
  • Education:Bachelor's degree (or in progress) in Computer Science, InformationSystems, Engineering, or related field
  • Experience:Basic exposure to EDI/B2B systems and integration tools (preferably IBMSterling Integrator or similar platforms)
  • Skills:
    • Understanding of EDI formats (e.g., X12,EDIFACT), protocols (FTP, SFTP, HTTP), and integration systems
    • Familiarity with ticketing systems, incidentmanagement, and change control processes
    • Strong attention to detail and willingness tolearn
    • Strong communication skills, both written andverbal
    • Team-oriented with the ability to collaborateacross departments
  • Preferred:Familiarity with cloud platforms, XSD, database management, or integrationtools is a plus

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