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Data Scientist Google Jobs in Georgia (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 ... Google Cloud). * Problem-Solving: Ability to design and implement innovative solutions to complex ...

Home Depot

Data Scientist

Atlanta, GA · On-site

The Data Scientist is responsible for supporting data science initiatives that drive business ... Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with ...

Roark Capital

Senior Data Scientist

Atlanta, GA · On-site

We are seeking a Senior Data Scientist to ship production-grade models and tools across Roark ... Deploy and operate models on the cloud (Google Cloud Platform preferred - Vertex AI, BigQuery ...

Factspan Inc

Senior Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA(Remote) Type: Fulltime Years of Experience: 8+ Yrs Skills ... good with coding, Google Cloud Platform (Big Query, Vertex.AI) Excellent communication skills:

Home Depot

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Experience running queries against data (preferably with Google BigQuery or SQL) * Experience in ...

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with ...

Home Depot

Senior Data Scientist, Marketing

Atlanta, GA · On-site

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... Proficient running queries against data (preferably with Google BigQuery or SQL) * Proficient with ...

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All JobsData Scientist Google JobsData Scientist Google Jobs in Georgia

Data Scientist Google information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist google jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data scientist google 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 does a data scientist at Google do?

A Data Scientist at Google is responsible for analyzing large and complex data sets to help inform business decisions, develop new products, and improve user experiences. They use statistical analysis, machine learning, and data visualization techniques to uncover insights from data. Data Scientists at Google often collaborate with engineers, product managers, and other stakeholders to solve challenging problems and drive innovation across various products and services.

What are the key skills and qualifications needed to thrive as a data scientist at Google?

To thrive as a Data Scientist at Google, you need strong expertise in statistics, machine learning, data analysis, and a relevant degree such as computer science or mathematics. Familiarity with programming languages like Python or R, experience with big data tools (e.g., TensorFlow, SQL, Hadoop), and possibly certifications in data science platforms are typically required. Excellent problem-solving, communication, and collaboration skills help you translate data insights into impactful business solutions. These skills ensure you can extract meaningful insights from complex data and drive innovation in a fast-paced, data-driven environment.

How does a data scientist at Google typically collaborate with cross-functional teams to deliver impactful projects?

At Google, Data Scientists frequently work alongside engineers, product managers, UX researchers, and business analysts to translate complex data insights into actionable product improvements. Collaboration often involves regular meetings to align on project goals, brainstorming sessions to identify potential data-driven solutions, and iterative feedback cycles to refine models or analyses. Open communication and a collaborative mindset are key, as Data Scientists are expected to clearly articulate findings to both technical and non-technical stakeholders, ensuring their work drives meaningful business outcomes.

What is the difference between Data Scientist Google vs Data Analyst Google?

AspectData Scientist GoogleData Analyst Google
Required CredentialsBachelor's/Master's in CS, Statistics, or related; often a PhD for advanced rolesBachelor's in related fields; certifications like Google Data Analytics are common
Work EnvironmentDeveloping models, advanced analytics, machine learning projectsData cleaning, reporting, visualization, basic analysis
Employer & Industry UsageTech giants, startups, industries leveraging AI and MLBusiness intelligence, marketing, finance across various sectors

Data Scientist Google focuses on building predictive models and advanced analytics, requiring higher technical skills and often advanced degrees. Data Analyst Google handles data interpretation, reporting, and visualization, with a focus on business insights. Both roles are essential but differ in complexity and scope.

Can a Data Scientist get a job in Google?

Yes, Data Scientists can get jobs at Google, which regularly hires for data science roles requiring strong skills in statistics, machine learning, programming (Python, R), and data analysis. Candidates typically need relevant experience, a strong educational background, and proficiency with tools like TensorFlow or BigQuery. Google's hiring process is competitive and often involves technical interviews and project assessments.

What are popular job titles related to Data Scientist Google jobs in Georgia?

For Data Scientist Google jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Scientist Google jobs in Georgia look for?

The top searched job categories for Data Scientist Google jobs in Georgia are:

What cities in Georgia are hiring for Data Scientist Google jobs?

Cities in Georgia with the most Data Scientist Google job openings:

Data Scientist Google jobs near you
Infographic showing various Data Scientist Google job openings in Georgia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Re-posted 15 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