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Data Analyst Machine Learning Jobs in Georgia (NOW HIRING)

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

Machine Learning Engineer

Atlanta, GA ยท On-site

$110.10K - $132.20K/yr

Machine Learning Engineer TECHM-JOB-30814 Position :- Machine Learning Engineer Location :- Atlanta GA (Day 1 onsite) Preferably 10+ years' experience having strong Data Analytical Skills with Hands ...

Process modeling data and perform advanced analytics * Apply machine learning, natural language processing, and network analysis techniques * Develop innovative approaches to analyze large-scale ...

Data Analyst We are looking for a passionate certified Data Analyst. The successful candidate will ... mining, machine learning, data warehousing, data modeling, data architecture, data management ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... mining, machine learning, data warehousing, data modeling, data architecture, data management ...

Data Analyst

Alpharetta, GA ยท On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... mining, machine learning, data warehousing, data modeling, data architecture, data management ...

The Data Analyst partners closely with cross-functional stakeholders and global Risk teams to ... Experience using Python and applying analytical or machine-learning techniques for risk ...

Data Engineer (Entry-Level)

Atlanta, GA ยท On-site

$110.10K - $132.20K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS For Java /Full stack/Devops Positions Bachelors degree or Masters degree in Computer Science ...

Data Analyst Location: Alpharetta, GA Department: Administration Employment Type: Full-Time Job ... Knowledge of machine learning concepts and predictive analytics. * Familiarity with CRM and ERP ...

Junior Data Analyst

Atlanta, GA ยท On-site

$35 - $40/hr

Junior Data Analyst Must be located in Atlanta, GA Long term opportunity | $35-$40 per hour (We are ... Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

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 ...

Machine Learning (supervised/unsupervised), TensorFlow, Deep Learning, NLP * Model deployment, A/B testing, business impact communication Data Analytics Track: * SQL, Excel, Power BI, Tableau

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Data Analyst Machine Learning information

See Georgia salary details

$28.7K

$69.8K

$114.8K

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

As of May 28, 2026, the average yearly pay for data analyst machine learning in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What is a Data Analyst Machine Learning job?

A Data Analyst Machine Learning job involves analyzing large datasets to extract insights and support decision-making using machine learning techniques. Professionals in this role clean, preprocess, and visualize data while building and evaluating predictive models. They work with programming languages like Python or R, use tools such as SQL and Tableau, and apply statistical methods to uncover patterns. This role bridges data analysis and machine learning by transforming raw data into actionable insights. Typically, they collaborate with data scientists, engineers, and business stakeholders to drive data-driven strategies.

What are the key skills and qualifications needed to thrive in the Data Analyst Machine Learning position, and why are they important?

To thrive as a Data Analyst Machine Learning, you need strong analytical skills, a background in statistics or mathematics, and experience in data preprocessing, model building, and evaluation. Familiarity with programming languages such as Python or R, experience with machine learning libraries (like scikit-learn or TensorFlow), and relevant certifications (such as Google Data Analytics or AWS Certified Machine Learning) are highly beneficial. Effective communication, problem-solving, and collaboration skills help distinguish top performers in this role. These abilities are crucial for transforming raw data into actionable insights, presenting findings clearly, and driving data-informed decisions in business settings.

What are the typical career progression opportunities for someone in a Data Analyst Machine Learning role?

Many professionals begin as Data Analysts with a focus on machine learning and, as they gain experience, can advance to roles such as Machine Learning Engineer, Data Scientist, or Analytics Manager. Career growth often involves taking on more complex projects, leading analytical teams, and contributing to strategic decision-making within the organization. Expanding your expertise in advanced machine learning techniques, big data tools, and business acumen can open doors to leadership positions. Additionally, working cross-functionally with engineering, product, and business teams provides valuable exposure and opportunities for further advancement.
What are the most commonly searched types of Data Analyst Machine Learning jobs in Georgia? The most popular types of Data Analyst Machine Learning jobs in Georgia are:
Infographic showing various Data Analyst Machine Learning job openings in Georgia as of May 2026, with employment types broken down into 2% Internship, 3% As Needed, 81% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.
Data Analyst

Full-time

Posted 24 days ago


Job description

Overview:
Data Analyst: 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 Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
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 Could platforms. 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. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • 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.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • 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 in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML