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Data Scientist Jobs in Decatur, GA (NOW HIRING)

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

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 ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

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 ...

State Farm

Data Scientist

Dunwoody, GA · On-site

ET-D&AI provides data science support to internal business partners across State Farm, including work focused on enhancing customer engagement and digital experiences through AI/ML. Responsibilities ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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.

Xforia, Inc.

Data Scientist

Atlanta, GA · On-site

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 ...

LexisNexis

Data Scientist

Alpharetta, GA · On-site

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 ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

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 ...

RELX Group plc

Data Scientist

Alpharetta, GA · On-site

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 ...

United Airlines

Data Scientist

Atlanta, GA

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 ...

RELX

Data Scientist

Alpharetta, GA

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 ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

Data Scientist Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and ...

CRH

Data Scientist

Atlanta, GA · On-site

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 ...

STEMtech

Data Scientist

Atlanta, GA

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus ...

Datavault AI Inc.

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Company Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.

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All JobsData Scientist JobsData Scientist Jobs in Decatur, GA

Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do data scientist jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 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.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

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 the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

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.
More about Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Decatur, GA? The most popular types of Data Scientist jobs in Decatur, GA are:
What are popular job titles related to Data Scientist jobs in Decatur, GA? For Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Decatur, GA look for? The top searched job categories for Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Scientist jobs? Cities near Decatur, GA with the most Data Scientist job openings:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in Decatur, GA as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 91% In-person, 6% Hybrid, and 3% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Re-posted 5 days ago

Job description

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 is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.
Supervision Received 
Works under minimal supervision. May work independently with responsibility for specific functions or programs. Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts.
Essential Duties & Responsibilities 
  • Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
  • Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.
  • Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.
  • Data Strategy & Research: 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 analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.
  • Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.
  • Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements.
  • Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.
  • Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.
  • Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.
  • Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.
Essential Duties & Responsibilities 
Support:
·    Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
·    Ensure compliance with data governance and security standards.
·    Provide recommendations for improving data infrastructure and processes to increase business efficiency.
·    Deliver ongoing support for mission-critical business functions through data-driven strategies.
·    Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Making 
  • Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks.
  • Selects appropriate data science methodologies and tools to achieve business goals.
  • Exercises judgment in balancing short-term project deliverables with long-term data strategy.
  • Influences business decisions by providing actionable insights based on thorough data analysis.
Leadership Provided
  • Serves as a technical resource or mentor to other employees. May lead or instruct less experienced workers in high level or technical jobs.
  • Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members.
  • Contributes to the strategic direction of the data science function within the organization.
  • Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure.
Knowledge, Skills & Abilities 
  • Technical Expertise: Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Data Infrastructure: Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Problem-Solving: Ability to design and implement innovative solutions to complex problems, leveraging data to drive business improvements.
  • Communication: Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Collaboration: Proven ability to work across departments and manage multiple projects or tasks concurrently.
  • Leadership: Experience leading and mentoring teams, guiding them toward achieving technical excellence.
  • Security and Compliance: Familiarity with data security best practices, ensuring compliance with industry standards.
Non-Technical Skills
  • Project Management: Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality.
  • Self-Motivation: Uses initiative and independent judgment to undertake activities with minimal supervision.
  • Adaptability: Responds constructively to new information, changing conditions, and unexpected challenges.
  • Customer Service: Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders.
 
Qualifications:
 Minimum Qualifications
Education and Experience 
  • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered.
  • Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models.
Preferred Education & Experience
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field.
  • Experience in leading data science teams or large-scale projects within an enterprise setting.
  • Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment.
  • Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions.
  • Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights.
  • Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)..
Certifications
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable