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

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 ...

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

Data Scientist

Atlanta, GA ยท On-site

$108K/yr

As a Data Scientist, GS-1560-13, you will design, develop, and implement the analytical ... AND 3) Experience communicating complex analytical findings through clear, concise, and compelling ...

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 ...

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 ...

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 ...

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 ...

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 ...

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry ...

... experience in financial modeling. The ideal candidate will combine the skills to create new ... What You'll Do: - Be an integral part of the Data Science Lab team that works closely with internal ...

Experience with AI/ML model testing, validation, deployment, and integration into CI/CD pipelines ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

New

What you'll be doing... As a Principal Data Scientist, you will drive profitable growth and ... In this role, you will architect agentic AI solutions to elevate the customer experience, optimize ...

Associate Data Scientist

Atlanta, GA ยท On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely ...

Associate Data Scientist

Atlanta, GA ยท On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely ...

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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 Jun 18, 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?

As an experienced data scientist, age is generally not a barrier to entering or advancing in the field. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Continuous learning and practical experience are key factors for success regardless of age.

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?

In data science, the 80/20 rule, 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 concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, statistical analysis, and programming remain essential for designing and deploying AI solutions effectively.

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.

What are popular job titles related to Experienced Data Scientist jobs in Decatur, GA? For Experienced Data Scientist jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Experienced Data Scientist jobs in Decatur, GA look for? The top searched job categories for Experienced Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Experienced Data Scientist jobs? Cities near Decatur, GA with the most Experienced Data Scientist job openings:
Data Scientist

Data Scientist

CRH

Atlanta, GA โ€ข Hybrid

Full-time

Medical, Dental, Retirement

Posted 14 days ago


Job description


Job ID:ย  525066
ย 

CRH is a leading global diversified building materials group, employing over 75,800 people at more than 3,160 locations in 29 countries. CRH is the leading building materials company in North America and the world. We manufacture and distribute a diverse range of superior building materials, products, and solutions, which are used extensively in construction projects of all sizes.ย 

Job Summary

CRH is seeking a Data Scientist to join the Intelligence Digital Products team within the Strategy function. The team is focused on systematically exploring and understanding the trends that will shape the construction industry, identifying where CRH can create value, and enabling better strategic decisions across the business.

Working with a combination of internal operational data, external market intelligence, and project-based insights, you will help uncover emerging risks and opportunities for CRH and the wider construction sector. The team uses data, research, and scenario analysis to support fact-based discussions and provide a forward-looking perspective on industry developments.

In this role, you will generate actionable insights through analysis and visualization, supporting multiple Strategy teams and senior leadership. You will be part of a high-performing, fast-paced environment with a strong emphasis on collaboration, innovation, and professional development.

Job Location

This role is based at our corporate office in the Perimeter area of Atlanta, GA โ€“ hybrid work schedule

Job Responsibilities

  • Develop clear analytical reports and visualizations to communicate insights from exploratory analysis, trends, and model outputs to business stakeholders
  • Support end-to-end ML workflows by contributing to data preparation, feature/label creation, baseline modelling, and evaluation
  • Apply reproducible build practices (modular code, version control, documented assumptions, repeatable experiments).
  • Contribute to improving efficiency of data and ML processes through practical performance optimization (efficient transformations, scalable data handling, reduced runtime in pipelines).
  • Write SQL as needed for data profiling, feature dataset creation, and ETL/ELT validation (quality checks, reconciliations, incremental logic).
  • Partner with BI, data engineering, and product teams to translate business questions into data and modelling requirements
  • Follow established standards for data integrity, consistency, and security

Job Requirements

  • Hands-on experience with machine learning tools, cloud platforms, and data warehousing; Snowflake exposure is a plus
  • Strong Python or R skills for advanced analysis (e.g., data wrangling, statistical analysis, modeling) required
  • Structure ambiguous questions, define success metrics, and translate analysis/model outputs into clear business decisions
  • Produce stakeholder-ready storytelling through strong report design and effective visualizations
  • Experience using SQL and other exploratory data analytics to create clean datasets, build/evaluate baseline ML models, and deliver reproducible, well-documented work (Git/notebooks)
  • Commitment to staying up to date on the latest developments in the AI/ML ecosystem and apply relevant techniques
  • Strong communication and collaboration skills, including experience working in Agile/Scrum environments with cross-functional teams
  • Self-starter mindset with high initiative; comfortable in a fast-paced environment, managing multiple priorities and tight deadlines
  • Bachelorโ€™s or Masterโ€™s degree in data science, statistics, mathematics, computer science, engineering, or related field
  • 2+ years of relevant experience in data science, analytics, or a related role, with demonstrated delivery of analytical or ML projects
  • Proficiency in Python and/or R for data analysis and statistical modelling
  • Experience with business intelligence tools such as Tableau and/or PowerBI
  • Understanding of Big data and data cloud-solutions, preferably Azure and Snowflake
  • Familiarity with data pipeline tools and ETL processes
  • Strong problem-solving and communication skills, with the ability to navigate ambiguous requirements and explain complex analytical concepts to both technical and non-technical audiences
  • Experience working in a multinational environment is a bonus
  • Fluent in English

What CRH Offers You

  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

If youโ€™re up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

CRH is an Affirmative Action and Equal Opportunity Employer.

EOE/Vet/Disability

CRH is an equal opportunity employer.ย  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.ย 

AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.


CRH logo

About CRH

Sourced by ZipRecruiter

CRH has a long and proud heritage as one of North America's largest corporations. We are a proud reflection of the hundreds of family businesses, local and regional companies and mid to large sized enterprises that together form the CRH family. CRH operates with a decentralized, diversified structure, letting you work in a small company environment while having the career opportunities of a large enterprise.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Dublin, Dublin, IE