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Data Science Machine Learning Jobs in Atlanta, GA

Keylent Inc

Machine Learning Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Machine Learning Engineer TECHM-JOB-30814 Position :- Machine Learning Engineer Location :- Atlanta ... Studying and transform data science prototypes. Collaborating with cross-functional teams to define ...

AT&T

Lead Data Scientist

Atlanta, GA · On-site

$171.60K - $257.40K/yr

... machine learning. * Provide leadership on complex data science initiatives by mentoring less experienced team members, influencing strategic direction, and driving high-impact projects across ...

AT and T

Lead Data Scientist

Atlanta, GA · On-site

$171.60K - $257.40K/yr

... machine learning. * Provide leadership on complex data science initiatives by mentoring less experienced team members, influencing strategic direction, and driving high-impact projects across ...

R2 Technologies

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

SynergisticIT

Entry Level Data Analyst

Atlanta, GA · On-site

Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time ...

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$55/hr

The ideal candidate must have data science and machine learning foundations with strong Python and full stack engineering skills with Angular and can translate business problems into effective secure ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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 ...

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Data Science Machine Learning information

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

As of May 28, 2026, the average yearly pay for data science machine learning in Atlanta, GA is $118,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What are popular job titles related to Data Science Machine Learning jobs in Atlanta, GA? For Data Science Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Data Science Machine Learning jobs in Atlanta, GA are:
Data Science Machine Learning jobs near you
Data Scientist - AI/ML (Atlanta, GA)

Data Scientist - AI/ML (Atlanta, GA)

Spartan Technologies, Inc.

Atlanta, GA • On-site

Full-time

Posted 10 days ago

Job description

We are seeking a Data Scientist who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role. The locations for this role are Atlanta, GA, FL, KS, LA, MS, OK, PA or TX. We are not seeking candidates who require relocation at this time. Also, we will consider candidates who are residents in Texas as well. This is a remote position.
Oil or Gas Industry experience is highly preferred for this role.
This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
Responsibilities:
• Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Required Knowledge, Skills, Abilities (Qualifications):
• Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
• 7 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
• Experience leading data science projects.
• Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
Preferred Knowledge, Skills, Abilities:
• It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
Travel Requirements: 10%
Position Location: Open

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