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Statistics Data Science Jobs in Georgia (NOW HIRING)

AI and Data Science Engineer III

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Required : • Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field • 4+ years of experience building and delivering large language model or ...

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110.10K - $132.20K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

AI and Data Science Engineer III

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Showing results 1-20

Statistics Data Science information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do statistics data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for statistics data science in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistics Data Scientist, and why are they important?

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.
What are popular job titles related to Statistics Data Science jobs in Georgia? For Statistics Data Science jobs in Georgia, the most frequently searched job titles are:
Infographic showing various Statistics Data Science job openings in Georgia as of May 2026, with employment types broken down into 14% As Needed, 29% Full Time, 14% Part Time, and 43% Contract. Highlights an 75% Physical, 9% Hybrid, and 16% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.
AI and Data Science Engineer III

AI and Data Science Engineer III

Deloitte

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Full-time

Posted 4 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading consulting firm that transforms technology platforms and drives innovation. They are seeking an AI and Data Science Engineer to build and operate data and AI foundations that power Human Capital AI products and analytics, collaborating closely with various teams to deliver reliable AI solutions.
Responsibilities:
• Partner with the Lead AI Solutions Architect and AI Data Engineer to translate Human Capital product requirements into technical designs and delivered solutions, including application programming interfaces, services, pipelines, and containerized or serverless components
• Build and operationalize large language model-enabled capabilities, including copilots, knowledge assistants, summarization, and policy question-and-answer solutions using secure endpoints, tool calling, and reusable prompt and context patterns
• Implement retrieval-augmented generation patterns, including document ingestion, chunking, embeddings, vector or hybrid search, and retrieval and evaluation telemetry
• Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and backfills
• Implement privacy, access, quality, lineage, monitoring, observability, testing, deployment, and incident response practices for production artificial intelligence and data solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field
• 4+ years of experience building and delivering large language model or generative artificial intelligence solutions using Claude-, GPT-, or Gemini-class models, including prompt design, context design, tool calling, evaluation, and production integration
• 4+ years of experience implementing retrieval-augmented generation, document processing, embeddings, and vector or hybrid search in enterprise environments
• 4+ years of experience in data engineering, including data modeling, batch or streaming pipelines, structured and unstructured data processing, and feature engineering
• 4+ years of experience building production inference services and enterprise integrations using application programming interfaces, Representational State Transfer (REST), GraphQL, event-driven patterns, continuous integration and continuous deployment, infrastructure as code, Docker, Kubernetes, and monitoring tools
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree or doctorate in Computer Science, Engineering, Statistics, Data Science, or a similar field
• Cloud or artificial intelligence or machine learning certification
• 4+ years of experience with Workday, SAP SuccessFactors, Oracle HCM, Salesforce, or human resources data domains
• 4+ years of experience operationalizing machine learning operations or large language model operations, including evaluation, monitoring, governance workflows, and model or prompt version management
• 4+ years of experience using Amazon Web Services, Microsoft Azure, or Google Cloud Platform for data platforms and scalable compute
• 4+ years of experience translating business requirements into acceptance criteria and release increments
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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