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

Smarsh

Lead Data Scientist

Atlanta, GA · Remote

$166K - $214K/yr

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

Equifax, Inc.

Data Scientist - Career

Atlanta, GA · On-site

... 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 ...

Resolution Technologies

Sr. Data Scientist

Atlanta, GA · On-site

Senior Data Scientist About the Role Our client is looking for a Senior Data Scientist for a ... Proven experience building and deploying ML models in production. * Strong Python and ML libraries ...

Munich Re

Data Scientist, AI

Atlanta, GA · On-site +1

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 ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Experience working with public datasets commonly used in urban and real estate research: Census ...

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 business profitability, increased efficiencies and improved customer experience. This role works closely ...

Smarsh

Lead Data Scientist

Atlanta, GA

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Experience working with public datasets commonly used in urban and real estate research: Census ...

Verizon

Principal Data Scientist

Alpharetta, GA · On-site

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 ...

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 business profitability, increased efficiencies and improved customer experience. This role works closely ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Cushman & Wakefield

Junior Data Scientist

Atlanta, GA · On-site

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Experience working with public datasets commonly used in urban and real estate research: Census ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

ARC Group

Sr. Data Scientist

Atlanta, GA

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS * Hands-on work with Azure tools:

AIG

Data Scientist, GenAI

Atlanta, GA

Experience successfully delivering multiple GenAI, analytical, or ML projects from conception ... Master's degree in data science, Computer Science, or a related quantitative field. Added Bonus ...

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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.
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:
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Experienced Data Scientist jobs near you
Data Scientist 1

Data Scientist 1

4P Consulting Inc.

Atlanta, GA • On-site

Full-time

Re-posted 17 days ago

Job description

Job Description:
4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology.

Key Responsibilities:

  • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers.
  • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers.
  • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns.
  • Feature Engineering: Develop features from raw data to enhance machine learning models.
  • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations.
  • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance.
  • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders.
  • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes.
  • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data.
  • A/B Testing: Design and execute A/B tests to evaluate changes and improvements.
  • Data Integration: Integrate data science solutions into existing workflows and software systems.
  • Data Security: Ensure data privacy by implementing appropriate security measures.
  • Documentation: Maintain clear documentation of processes, models, and findings.
  • Continuous Learning: Stay current on developments in data science and machine learning.

Qualifications:

  • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred).
  • Programming Skills: Proficiency in Python or R.
  • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch).
  • Database Knowledge: Strong understanding of SQL and relational databases.
  • Statistical Skills: Expertise in statistical analysis techniques.
  • Machine Learning: Deep knowledge of machine learning algorithms and techniques.
  • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau.
  • Problem-Solving: Strong analytical and problem-solving skills.
  • Communication: Ability to clearly explain complex findings to non-technical audiences.
  • Collaboration: Experience working within cross-functional teams.
  • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required.
  • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns.

Benefits:

  • Competitive salary
  • Opportunities for career growth and development
  • Health and wellness benefits
  • Collaborative and dynamic work environment

How to Apply:
Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.