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Director Data Analyst Machine Learning Jobs in Georgia

Machine Learning Engineer

Atlanta, GA · On-site

$125 - $150/hr

We aim to create software that delivers real-time data to the entire supply chain that allows ... Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our ...

This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data ...

Machine Learning Engineer 1 or 2

Atlanta, GA · On-site

$110K - $132K/yr

This position will help advance the Data Management and Data Analytics strategy by increasing our ... Design, build, and optimize machine learning models and algorithms for various applications. * Data ...

... statistics, machine learning, etc.) and learn new skills. Operates under the supervision and ... This position has no Direct Reports Travel Requirements: * Typically requires overnight travel less ...

Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ... Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small ...

Apply advanced machine learning, predictive analytics, natural language processing (NLP), and ... Sourcing Model Recruitment at FIS works primarily on a direct sourcing model; a relatively small ...

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

The Data Scientist I develops, implements, and monitors advanced analytic, computational, and predictive modeling tools and applies machine learning and artificial intelligence (AI) to public health ...

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

The Data Scientist I develops, implements, and monitors advanced analytic, computational, and predictive modeling tools and applies machine learning and artificial intelligence (AI) to public health ...

Data Scientist

Atlanta, GA · On-site

$80 - $100/hr

The Data Scientist I develops, implements, and monitors advanced analytic, computational, and predictive modeling tools and applies machine learning and artificial intelligence (AI) to public health ...

... analysis, machine learning, and big data technologies to drive informed decision-making and ... Relevant Material Job Duties for which Criminal History may have a direct adverse, and negative ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Data Management and Analytics organization. This is an excellent opportunity to gain hands-on ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Data Management and Analytics organization. This is an excellent opportunity to gain hands-on ...

Showing results 41-60

Director Data Analyst Machine Learning information

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 Georgia?

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

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

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

What job categories do people searching Director Data Analyst Machine Learning jobs in Georgia look for?

The top searched job categories for Director Data Analyst Machine Learning jobs in Georgia are:

Infographic showing various Director Data Analyst Machine Learning job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Director, Data Engineering - Manufacturing Data

Cargill

Atlanta, GA

Full-time

Posted 11 days ago


Cargill rating

7.4

Company rating: 7.4 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

19th of 49 rated food wholesalers


Job description

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life's essentials, we enable businesses to grow, communities to prosper, and consumers to live well.

Our 155,000 team members innovate with purpose, providing customers with life's essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing-today and for generations to come.

Job Purpose and Impact

The Director, Data Engineering - Manufacturing Data job leads the team responsible for the execution of the tactical and strategic plans related to design, development and maintenance of robust data systems. This job provides guidance to the team that ensures the efficient processing and availability of data for analysis and reporting.

Key Accountabilities
  • DATA SYSTEMS: Establishes and maintains robust data systems that support large and complex data products, ensuring reliability and accessibility for partners.
  • SOLUTIONS DEVELOPMENT: Leads the development of technical products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust. .
  • DATA PIPELINES: Oversees and guides the design and development of data pipelines that facilitate the movement of data from various sources to internal databases.
  • DATA INFRASTRUCTURE: Handles the construction and optimization of data infrastructure, resolving appropriate data formats to ensure data readiness for analysis.
  • DATA FORMATS: Examines and settles appropriate data formats to optimize data usability and accessibility across the organization.
  • STAKEHOLDER MANAGEMENT: Liaises with partners to understand data needs and ensure alignment with organizational objectives.
  • DATA FRAMEWORKS: Champions development standards and brings forward prototypes to test new data framework concepts and architecture patterns supporting efficient data processing and analysis and promoting standard methodologies in data management.
  • AUTOMATED REPORTING SYSTEMS: Leads the creation and maintenance of automated reporting systems that provide timely insights and facilitate data driven decision making.
  • DATA MODELING: Oversees data modeling to ensure the preparation of data in databases for use in various analytics tools and to configurate and develop data pipelines to move and improve data assets.
  • TEAM MANAGEMENT: Manages team members to achieve the organization's goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.
Qualifications
  • Minimum requirement of 6 years of relevant work experience. Typically reflects 10 years or more of relevant experience.

Preferred qualiications:

  • Manufacturing, supply chain, industrial IoT, or operational technology experience.
  • Experience enabling AI, machine learning, and advanced analytics through modern data platforms.
  • Experience working with large-scale enterprise data ecosystems.
  • Experience building product-oriented engineering organizations.
  • Experience integrating ERP, manufacturing, historian, quality, maintenance, and operational data domains into common data models.
  • Experience developing data capabilities that directly support decision intelligence and AI-driven operations.
  • Leadership experience building and managing high-performing data engineering teams.
  • Experience partnering with business leaders to translate operational needs into scalable technical solutions.
  • Experience driving technology transformation and organizational change.     
     

Equal Opportunity Employer, including Disability/Vet


What Cargill employees say

Pay

Benefits

Hours and flexibility

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About Cargill

Sourced by ZipRecruiter

Cargill was founded in 1865 as a single grain warehouse in Iowa, U.S. Since then, we’ve grown to become a global partner connecting people around the planet. But one thing has remained constant over the years: our purpose of nourishing the world in a safe, responsible and sustainable way. Cargill is committed to conducting business with integrity, operating responsibly, enriching communities and nourishing the world. In the fiscal year 2021, Cargill provided $110.5 million in total charitable contributions in 56 countries to support our communities. Cargill businesses and employee-led groups partner with local civic, nonprofit and non-governmental organizations on programs and projects that improve food security and nutrition; support human rights, equity and inclusion; strengthen farmer livelihoods; and advance our commitments in the areas of land use, water and climate.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US