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New Grad Data Scientist Jobs in Georgia (NOW HIRING)

neptune technologies

Data Scientist

Duluth, GA

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... new technologies and tools quickly. • Continued professional development through courses ...

LexisNexis

Data Scientist

Alpharetta, GA · On-site

This individual will play a key role in new product innovation, model development, generating ... About the Role A Senior Data Scientist I should be able to define the scope of a project with ...

Neptune

Data Scientist

Duluth, GA · On-site

Position Summary As a Data Scientist, you will be responsible for developing and implementing ... new technologies and tools quickly. • Continued professional development through courses ...

LexisNexis Risk Solutions

Data Scientist

Alpharetta, GA · On-site

$95.30 - $158.80/hr

This individual will play a key role in new product innovation, model development, generating ... A Senior Data Scientist I should be able to define the scope of a project with support of managers ...

RELX

Data Scientist

Alpharetta, GA

This individual will play a key role in new product innovation, model development, generating ... About the Role A Senior Data Scientist I should be able to define the scope of a project with ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

This individual will play a key role in new product innovation, model development, generating ... About the Role A Senior Data Scientist I should be able to define the scope of a project with ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives. * Advanced Analytics & Insights: Provide deep ...

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

... new capabilities. • Mentor junior data scientists and contribute to the growth and development of the data science team. • Communicate complex technical concepts and findings to non-technical ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

loomis

Data Scientist

Suwanee, GA

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

loomis

Data Scientist

Suwanee, GA · On-site

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... Open to changing their mind when presented with new evidence What Success Looks Like · Forecasting ...

COLEMAN CONSULTING GROUP LLC

Data Scientist

Athens, GA · On-site

As a Data Scientist, you will analyze large amounts of raw data to discover patterns and insights ... Discover valuable business insights and propose new approaches to challenges * Automate the data ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... new data analytic directions and their potential business impact to determine the proper ...

Charter Global

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... new data analytic directions and their potential business impact to determine the proper ...

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Showing results 1-20

All JobsNew Grad Data Scientist JobsNew Grad Data Scientist Jobs in Georgia

New Grad Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do new grad data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for new grad data scientist in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What are popular job titles related to New Grad Data Scientist jobs in Georgia? For New Grad Data Scientist jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching New Grad Data Scientist jobs in Georgia look for? The top searched job categories for New Grad Data Scientist jobs in Georgia are:
What cities in Georgia are hiring for New Grad Data Scientist jobs? Cities in Georgia with the most New Grad Data Scientist job openings:
New Grad Data Scientist jobs near you
Infographic showing various New Grad Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Data Scientist

neptune technologies

Duluth, GA

Full-time

Re-posted 21 days ago

Job description

Position Summary

As a Data Scientist, you will be responsible for developing and implementing machine learning models and analytical solutions that support our water utility intelligence platform. This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production. You will work closely with senior data scientists, software engineers, and Product Management to translate business requirements into actionable insights and ML capabilities. This role offers the opportunity to grow your skills in production ML, cloud technologies, and contribute directly to water conservation and utility operational improvements.

Responsibilities
• Collaborate with team members to develop and deploy machine learning models and data science solutions.
• Work with Product Management to understand requirements and translate them into analytical approaches.
• Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
• Analyze large-scale time-series data from IoT devices and water utility operations.
• Develop data processing workflows using Python, SQL, and distributed computing frameworks.
• Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
• Perform feature engineering and model experimentation to improve predictive performance.
• Create data visualizations and reports to communicate findings to stakeholders.
• Implement data quality checks and validation procedures for analytical pipelines.
• Collaborate with software engineers to integrate ML models into Neptune 360 platform.
• Monitor model performance and contribute to maintenance of production ML systems.
• Document analytical methodologies, code, and model implementations.
• Participate in code reviews and follow data science best practices.
• Work with cloud-based data infrastructure and ML tools (AWS preferred).
• Stay current with developments in machine learning and data science techniques.
• Participate in sprint planning and demonstrate completed work at the end of every iteration.
• Support senior data scientists with complex analytical projects.
• Continuously develop technical skills through self-directed learning and training.

Experience

• 3+ years of experience in data science, machine learning, or related analytical roles.
• 3+ years of experience with Python and data science libraries (pandas, NumPy, scikit-learn).
• Strong experience with SQL and relational databases.
• Experience building and evaluating machine learning models.
• Understanding of statistical analysis and experimental design principles.
• Experience with data visualization tools and techniques.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with version control systems (Git).
• Understanding of software development best practices.
• Ability to work in Agile/iterative development environments.
• Strong problem-solving skills and attention to detail.
• Ability to communicate technical concepts clearly to both technical and non-technical
audiences.
• Demonstrated ability to learn new technologies and tools quickly.
• Continued professional development through courses, certifications, or projects.
• Preferred: Experience with PySpark or distributed computing frameworks.
• Preferred: Experience with time-series analysis and forecasting.
• Preferred: Experience with AWS services (SageMaker, Lambda, S3, Redshift).
• Preferred: Experience with deep learning frameworks (TensorFlow, PyTorch).
• Preferred: Experience deploying models to production environments.
• Preferred: Experience with IoT data or utility operations.

Education
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or
related quantitative field, or combination of education and equivalent experience.

Location: Duluth, GA

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