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Data Scientist Jobs in Georgia (NOW HIRING)

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.

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.

Why Join Our Data Science Team? At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both ...

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320 Onsite General Description and Classification Standards The Data Scientist ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization.

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions succeed.

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Key Skills: - LLM - NLP - GenAI - RAG - Python Summary We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Summary The position of Data Scientist is for the Logicpath division within Loomis. We are a team of tech-savvy cash inventory management experts passionate about helping financial institutions ...

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note: Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai development ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

Are you passionate about using data science to drive smarter risk decisions and create meaningful business impact? Do you enjoy solving complex analytical challenges, working with large-scale data ...

Cary, NC (Onsite/Hybrid from Day 1) We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine ...

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Data Scientist information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist jobs pay per year?

As of Aug 6, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
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 cities in Georgia are hiring for Data Scientist jobs? Cities in Georgia with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in GA? For Data Scientist jobs in GA, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% 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 โ€ข On-site

Full-time

Re-posted 19 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
โ€ข Collaborate with team members to develop and deploy machine learning models and data science solutions.
โ€ข Work with Product Management to understand requirements and translate them into analytical approaches.
โ€ข Build machine learning models for water consumption forecasting, anomaly detection, leak detection, and predictive maintenance.
โ€ข Analyze large-scale time-series data from IoT devices and water utility operations.
โ€ข Develop data processing workflows using Python, SQL, and distributed computing frameworks.
โ€ข Conduct exploratory data analysis to identify patterns, trends, and insights in utility data.
โ€ข Perform feature engineering and model experimentation to improve predictive performance.
โ€ข Create data visualizations and reports to communicate findings to stakeholders.
โ€ข Implement data quality checks and validation procedures for analytical pipelines.
โ€ข Collaborate with software engineers to integrate ML models into Neptune 360 platform.
โ€ข Monitor model performance and contribute to maintenance of production ML systems.
โ€ข Document analytical methodologies, code, and model implementations.
โ€ข Participate in code reviews and follow data science best practices.
โ€ข Work with cloud-based data infrastructure and ML tools (AWS preferred).
โ€ข Stay current with developments in machine learning and data science techniques.
โ€ข Participate in sprint planning and demonstrate completed work at the end of every iteration.
โ€ข Support senior data scientists with complex analytical projects.
โ€ข Continuously develop technical skills through self-directed learning and training.

Experience

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