ZipRecruiter

Log In

2

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

Waystar

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Bachelor's degree in computer science, Data Engineering, Information Systems, or related field

Crew Career Center

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Bachelor's degree in computer science, Data Engineering, Information Systems, or related field

Accenture

Data Protection, A/SA-Evergreen

Atlanta, GA

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

New

Actalent

Entry Level Recruiter/Sales Trainee

Atlanta, GA · On-site

$195K/yr

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 ...

previous pagenext page

Showing results 21-40

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Roswell, GA

Entry Level Data Science information

See Roswell, GA salary details

$9

$17

$24

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

As of Aug 14, 2026, the average hourly pay for entry level data science in Roswell, GA is $17.53, according to ZipRecruiter salary data. Most workers in this role earn between $14.81 and $19.66 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

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.

What are the most commonly searched types of Data Science jobs in Roswell, GA?

The most popular types of Data Science jobs in Roswell, GA are:

What job categories do people searching Entry Level Data Science jobs in Roswell, GA look for?

The top searched job categories for Entry Level Data Science jobs in Roswell, GA are:

What cities near Roswell, GA are hiring for Entry Level Data Science jobs?

Cities near Roswell, 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 Roswell, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $36,463 per year, or $17.5 per hour.

Data Engineer

Waystar

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

ABOUT THIS POSITION
We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP).
This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building scalable data solutions.
You will work alongside senior engineers and architects to help build and maintain data pipelines, contribute to modern Medallion architecture (Bronze/Silver/Gold), and learn best practices in cloud data engineering, governance, and analytics delivery.
WHAT YOU'LL DO
Data Pipeline Development (Learn & Build)
  • Assist in building and maintaining data pipelines into BigQuery using tools such as Fivetran and Python
  • Support development of bronze, silver, and gold data layers for analytics use cases
  • Contribute to data transformations using dbt (training provided if needed)
  • Work with senior engineers to understand orchestration and scheduling concepts

Data Quality & Reliability
  • Help implement basic data validation and data quality checks
  • Support monitoring of pipelines and troubleshooting data issues
  • Learn best practices for logging, testing, and error handling

Platform & Engineering Practices
  • Contribute to version-controlled development using GitHub
  • Assist in documenting data pipelines, transformations, and data models
  • Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure)

Governance & Collaboration
  • Partner with data engineers, analysts, and business stakeholders to understand data requirements
  • Support data classification, lineage, and governance initiatives
  • Participate in Data Champions and domain-based data ownership practices

Required Qualifications
  • Bachelor's degree in computer science, Data Engineering, Information Systems, or related field
  • Strong academic foundation in:
  • SQL
  • Python or similar programming language
  • Data structures and problem-solving
  • Internship, coursework, or project experience in data engineering, analytics, or cloud platforms
  • Willingness to learn modern data tools and cloud technologies
  • Strong communication and collaboration skills

Preferred Qualifications
  • Exposure to cloud platforms such as GCP, AWS, or Azure
  • Familiarity with:
  • BigQuery or relational databases
  • dbt or data transformation tools
  • APIs and data ingestion concepts
  • Experience with Git or version control
  • Academic or personal projects involving data pipelines or analytics

WHAT YOU'LL NEED
  • Building scalable data pipelines in a modern cloud platform (GCP / BigQuery)
  • Data modeling and Medallion architecture design
  • dbt-based transformation and analytics engineering
  • Data quality frameworks and observability
  • Data governance, classification, and secure access controls
  • Real-world enterprise data platform delivery
  • SQL
  • Python (or similar language)
  • Basic data modeling / analytics concepts
  • Git or version control (exposure)

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Apply