1

Data Scientist Cpg Jobs in Georgia (NOW HIRING)

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

... and data engineering practices, and cutting-edge applied AI research. Our work is rooted in ... Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such ...

Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics ... Packaged Goods (CPG), Design Thinking, Digital Business Strategy, Electronic Hardware ...

We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, and India, we deliver cutting-edge data modernization and ...

We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, and India, we deliver cutting-edge data modernization and ...

next page

Showing results 1-20

Data Scientist Cpg information

What is a data scientist CPG?

Data Scientist CPG roles involve leveraging data analytics, machine learning, and statistical modeling to help Consumer Packaged Goods (CPG) companies make informed business decisions. These professionals analyze large datasets related to consumer behavior, sales, supply chain, and marketing to uncover trends and insights. Their work supports product development, marketing strategies, demand forecasting, and inventory management. Data Scientists in CPG often collaborate with cross-functional teams to drive growth and efficiency across the business.

What are the key skills and qualifications needed to thrive as a data scientist in the Consumer Packaged Goods (CPG) industry?

To thrive as a Data Scientist in CPG, you need strong analytical skills, expertise in statistics, and proficiency in programming languages like Python or R, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and experience with large-scale data systems are typically required. Strong business acumen, problem-solving abilities, and effective communication skills help translate data insights into actionable business strategies. These skills are vital for driving data-driven decisions that optimize supply chains, marketing, and product development in the highly competitive CPG sector.

How do data scientists in the CPG industry typically collaborate with marketing and sales teams to drive business outcomes?

Data Scientists working in the Consumer Packaged Goods (CPG) sector regularly partner with marketing and sales teams to analyze consumer behavior, forecast demand, and optimize promotional strategies. They translate complex data into actionable insights, enabling teams to make data-driven decisions on product launches, pricing, and campaign effectiveness. This collaboration often involves presenting findings in clear, business-friendly terms, and aligning data initiatives with broader commercial objectives to ensure that analytics directly contribute to revenue growth and market share.

What is the difference between Data Scientist Cpg vs Data Analyst Cpg?

AspectData Scientist CpgData Analyst Cpg
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Analytics, Statistics, or related field; proficiency in Excel, SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning in CPG companiesData reporting, visualization, and basic analysis in CPG settings
Employer & Industry UsageUsed for complex data modeling, forecasting, and strategic insights in CPGUsed for routine data reporting and trend analysis in CPG

Data Scientist Cpg roles focus on advanced analytics, predictive modeling, and machine learning to drive strategic decisions, requiring higher technical skills. Data Analyst Cpg positions involve data reporting, visualization, and basic analysis, supporting operational needs. Both roles are vital in CPG companies but differ in complexity and technical expertise.

What cities in Georgia are hiring for Data Scientist Cpg jobs?

Cities in Georgia with the most Data Scientist Cpg job openings:

Infographic showing various Data Scientist Cpg job openings in Georgia as of August 2026, with employment types broken down into 95% Full Time, 2% Temporary, and 3% Contract. Highlights an 83% In-person, 4% Hybrid, and 13% Remote job distribution.

Senior Data Scientist & Product Manager (17607)

Baer

Atlanta, GA โ€ข On-site

Other

Re-posted 19 days ago


Job description

Baer is looking for Senior Data Scientist & Product Manager for a Contact-to-Hire project located in Atlanta, GA.
Title: Senior Data Scientist & Product Manager
Location: Hybrid Atlanta, GA (3 days/week on-site)
Duration: Contract-to-Hire
Rate: All-inclusive
Alignment: W2 or C2C
Overview:
We are seeking an experienced Senior Data Scientist & Product Manager to lead the strategy, development, and delivery of innovative Computer Vision solutions. This hybrid role combines technical leadership in AI/ML and computer vision with product ownership, driving the roadmap, vision, and business outcomes for computer vision applications. You will collaborate with cross-functional teams, business stakeholders, and external technology partners to deliver scalable, high-impact AI products.
Description:

  • Lead the design, development, and optimization of Computer Vision and Machine Learning solutions
  • Define and manage the product vision, roadmap, priorities, and business objectives for Computer Vision products.
  • Build and enhance image processing pipelines, rules engines, and AI-powered applications.
  • Partner with engineering, data science, and business teams to deliver scalable, high-quality solutions.
  • Work with external Image Recognition (IR) vendors to improve model performance, accuracy, and product quality.
  • Define product KPIs, monitor performance, and drive continuous improvements based on data and user feedback.
  • Support AI model lifecycle activities including training, validation, deployment, monitoring, and optimization.
  • Manage product backlogs, requirements, release planning, and stakeholder communications.
  • Research emerging AI, Computer Vision, and Generative AI technologies to identify new business opportunities.
  • Mentor technical teams and provide leadership on best practices in AI, Machine Learning, and product development.

Requirements:

  • 7+ years of experience in Data Science or Machine Learning, including 3+ years in Computer Vision.
  • Strong experience with Python and Computer Vision frameworks such as PyTorch, TensorFlow, and OpenCV.
  • Hands-on knowledge of the complete Machine Learning lifecycle, including model deployment and monitoring.
  • Experience leading AI/ML projects from concept through production.
  • Proven experience managing product roadmaps, priorities, and business outcomes.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Experience working with cross-functional teams and external technology partners.
  • Experience as a Product Owner or Product Manager for AI/ML products.
  • Knowledge of Image Recognition solutions in Retail, CPG, or Supply Chain environments.
  • Experience with Azure, Databricks, APIs, SDKs, CI/CD, and cloud-native architectures.
  • Familiarity with Generative AI, foundation models, and modern AI technologies.
  • Experience with rules engines, business logic frameworks, and data platforms.
  • Bachelor's Degree.

Company Overview:
Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.
Baer is an equal opportunity employer including disability/veteran.