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Experienced Data Scientist Jobs in Decatur, GA (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA

$95K - $110K/yr

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.

CRH

Data Scientist

Atlanta, GA · On-site

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a ... Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake ...

STEMtech

Data Scientist

Atlanta, GA

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

STEMtech

Data Scientist

Atlanta, GA · On-site

Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable * Great communication skills * Experience with data ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to ... Experience working with natural language processing (NLP) techniques. * Familiarity with deep ...

PRGX Global, Inc

Data Scientist

Atlanta, GA

Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to ... Experience working with natural language processing (NLP) techniques. * Familiarity with deep ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... experience and providing insights from a professional perspective. Prepares results in such a way ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to ... Experience working with natural language processing (NLP) techniques. * Familiarity with deep ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA

Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to ... Experience working with natural language processing (NLP) techniques. * Familiarity with deep ...

CRH

Data Scientist

Atlanta, GA · Hybrid

Job Summary CRH is seeking a Data Scientist to join the Intelligence Digital Products team within ... Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake ...

Charter Global

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... experience and providing insights from a professional perspective. • Prepares results in such a ...

Inspire Brands

Data Scientist

Atlanta, GA · On-site

The Data Scientist performs analysis of multiple data sources using statistical analysis and ... This role requires in-depth knowledge and experience needed tooperateindependently with limited ...

Inspire Brands

Data Scientist

Atlanta, GA · On-site

The Data Scientist performs analysis of multiple data sources using statistical analysis and ... This role requires in-depth knowledge and experience needed tooperateindependently with limited ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff * Experience with object oriented design, coding and testing, engineering software ...

STEMtech

Sr. Data Scientist

Atlanta, GA

Experience leading a team of data scientists with responsibility for hiring, coaching, and developing direct staff * Experience with object oriented design, coding and testing, engineering software ...

Inspire Brands, Inc.

Data Scientist

Sandy Springs, GA · On-site

The Data Scientist performs analysis of multiple data sources using statistical analysis and ... This role requires in-depth knowledge and experience needed to operate independently with limited ...

Monitise

Data Scientist

Alpharetta, GA · On-site

Job Title Data Scientist Overview: This position is a member of the Merchant Solutions Data and ... Internship or other experience in an analytical/quantitative role. * Flexibility, perseverance, and ...

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All JobsExperienced Data Scientist JobsExperienced Data Scientist Jobs in Decatur, GA

Experienced Data Scientist information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do experienced data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for experienced data scientist in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

An experienced data scientist can start or transition into the field at age 40, as skills in programming, statistics, and machine learning are more important than age. Many professionals successfully switch careers or advance in data science later in life by gaining relevant certifications and building a strong portfolio.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What are experienced data scientists?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this rule to prioritize data cleaning, feature selection, and model tuning to focus on the most impactful variables and improve efficiency.

How much does an experienced data scientist make?

An experienced data scientist typically earns between $100,000 and $150,000 annually, with salaries increasing based on industry, location, and expertise in tools like Python or R. Senior roles or those with specialized skills can exceed $170,000 per year.

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

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

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

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

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.
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Experienced Data Scientist jobs near you
Data Scientist

Data Scientist

Revenue Analytics

Atlanta, GA

$95K - $110K/yr

Full-time

Posted 19 days ago

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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