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Director Data Analyst Machine Learning Jobs in Atlanta, GA

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

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 ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA

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

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · 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 ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Big Data Analytics - Deep understanding of the domain or industry in which the machine learning solutions are being applied, enabling the company to develop impactful big data solutions * Cloud ...

Jobsultant Solutions

Data Analyst

Atlanta, GA · On-site

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/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 ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

... machine learning Predictive modeling experience Understanding of Linux systems and automation of jobs Exposure to Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

... machine learning Predictive modeling experience Understanding of Linux systems and automation of jobs Exposure to Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and ...

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

Position: Data Analytics Analyst 3 Location: 10 Peachtree Place NE Suite 1000 Atlanta GA 30309 ... Apply machine learning techniques for predictive modeling and forecasting * Validate models and ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$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 ...

Revenue Analytics

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 ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

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 ...

Revenue Analytics

Data Scientist

Atlanta, GA

$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 ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Atlanta, GA

Director Data Analyst Machine Learning information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

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

As of Aug 10, 2026, the average yearly pay for director data analyst machine learning in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Atlanta, GA? The most popular types of Data Analyst Machine Learning jobs in Atlanta, GA are:
What are popular job titles related to Director Data Analyst Machine Learning jobs in Atlanta, GA? For Director Data Analyst Machine Learning jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Atlanta, GA look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Director Data Analyst Machine Learning jobs? Cities near Atlanta, GA with the most Director Data Analyst Machine Learning job openings:
Director Data Analyst Machine Learning jobs near you

Data Analyst

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Re-posted 8 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

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