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

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as ...

Evaluate the technical work of experienced data scientists guiding them on deliverable quality and ... accuracy What experience you need * Master's degree or higher in Mathematics, Statistics, Data ...

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

WHAT YOU'LL DO We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Health ...

They are looking for an experienced Data Scientist to solve technical, data-driven Healthcare problems using computer science and statistical methods, while maximizing the utility of predictive ...

Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL * Strong communication ... data science, quantitative marketing, operations research, industrial engineering, etc.

May lead or instruct less experienced workers in high level or technical jobs. * Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team ...

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization.

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note ... Notes: Need someone who has experience with Python programming, NumPy or Pandas and along with ...

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 ...

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 ...

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

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

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 ...

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

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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 17, 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

Prophecy Technologies

Atlanta, GA โ€ข On-site

Full-time

Posted 7 days ago


Job description

Job Summary:
We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as well as experience with big data ecosystems, cloud computing, and machine learning techniques.
Key Responsibilities:
  • Design and implement predictive models and machine learning algorithms to solve business problems.
  • Perform feature selection using techniques such as PCA, Lasso, and Elastic Net.
  • Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM.
  • Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions.
  • Create interactive dashboards and visualizations using tools like Domo, Tableau, PowerBI, D3.js, and Matplotlib.
  • Communicate insights through compelling data storytelling for diverse stakeholders.
  • Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Technical Skills:
  • Python programming language.
  • SQL programming language.
  • R programming language.
  • Skywise Palantir.
  • Domo.
  • SAS.
  • Web development languages.
  • Cloud platforms (AWS, Azure).
  • Big data ecosystems (Hadoop).

Required Qualifications:
  • 8+ years of experience in data science.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.

Preferred Qualifications:
  • Experience with advanced analytics and big data tools.
  • Familiarity with NLP, deep learning frameworks, and modern visualization libraries.
  • Strong problem-solving and communication skills.