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Data Analyst Data Scientist Jobs in Georgia (NOW HIRING)

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 ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and ...

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 ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and ...

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Provide deep analytical insights to solve complex business problems using statistical models ...

Data Scientist

Duluth, GA · On-site

$110 - $150/hr

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.

New

Behind every great decision is insightful data, advanced analytics, and the people who know how to turn information into action. We're looking for a Data Scientist who is passionate about solving ...

Data Scientist This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically ...

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.

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.

Job Summary We are seeking a highly analytical and motivated Data Scientist to join our team. The ideal candidate will leverage statistical analysis, machine learning, and data mining techniques to ...

New

Data Scientist This role is for someone with advanced data analysis skills and a firm grasp of the scientific method. Must be proficient in statistics and at least one programming language (typically ...

This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... This includes:- Analyzing the data and identifying data sources- Determining appropriate types of ...

Showing results 21-40

Data Analyst Data Scientist information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do data analyst data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst data scientist 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 data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

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

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

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

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

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

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

Infographic showing various Data Analyst Data Scientist job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 12 days ago


Key responsibilities

  • Build machine learning and AI solutions to support pricing, forecasting, and revenue management decisions in hospitality.

  • Analyze large datasets to identify patterns, risks, and opportunities, and develop practical recommendations or product capabilities.

  • Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights.


Job description

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 help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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