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Data Scientist Machine Learning Jobs in Georgia (NOW HIRING)

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. * Data ...

Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. * Data ...

Position Summary As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models and data-driven solutions that enhance our water utility intelligence ...

Data Scientist

Atlanta, GA · On-site

$100 - $125/hr

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 ...

Summary The Data Scientist position is in the Logicpath division within Loomis. We are a team of ... The ideal candidate combines strong statistical and machine learning expertise with practical ...

Senior Data Scientist

Atlanta, GA · On-site

$125 - $150/hr

Stay current on emerging data science, machine learning, and AI technologies and apply them when appropriate. * Technical Delivery * Lead the execution of complex data science projects from problem ...

Sr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a ... Recognize emerging machine learning and pattern recognition algorithms and work with the team to ...

Senior Data Scientist Experience: 10-15 Years Location: Atlanta, Ga Contract- 1 Year Client ... Conduct advanced statistical and machine learning analyses on large, complex data sets * Develop ...

Senior Data Scientist Experience: 10-15 Years Location: Atlanta, Ga Contract- 1 Year Client ... Conduct advanced statistical and machine learning analyses on large, complex data sets * Develop ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Job Brief Data Science, Machine Learning, Programming Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Showing results 41-60

Data Scientist Machine Learning information

See Georgia salary details

$31.7K

$103.6K

$165.9K

How much do data scientist machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data scientist machine learning in Georgia is $103,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Georgia?

The most popular types of Data Scientist Machine Learning jobs in Georgia are:

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

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

What cities in Georgia are hiring for Data Scientist Machine Learning jobs?

Cities in Georgia with the most Data Scientist Machine Learning job openings:

Infographic showing various Data Scientist Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $103,638 per year, or $49.8 per hour.

DATA SCIENTIST

4P Consulting Inc

Forest Park, GA • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

HI,

Hope you're doing well

This is pankaj from 4P Consulting Please see below job description

Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C

  • 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.
  • This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights.
  • Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques.
  • Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations.
  • Feature Engineering: Engineer and select relevant features for machine learning models,
  • enhancing their predictive power. Algorithm Development: Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem.
  • Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics:
  • Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship:
  • Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus.
  • 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization toolslike Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations.
  • A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff.

Thanks and Regards

Sr. Talent Acquisition Specialist

Pankaj Mishra

Pankaj. Mishra@4pconsultinginc.com

+1 205-756-4834