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Data Scientist Cpg Jobs in Ohio (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... Retail, CPG, media, personalization, loyalty, or customer analytics experience. * Experience ...

Judge Group, Inc.

Data Engineer Level 2

Cincinnati, OH · On-site

$60 - $70/hr

Experience with Azure and Databricks, or comparable cloud-based data science platforms * Experience ... Experience in retail, CPG, media, or marketplace analytics * Demonstrated ability to informally ...

84.51

Lead Client Success Manager

Cincinnati, OH · On-site

$95K - $125K/yr

Chicago, IL 84.51 is a retail data science, insights and media company. We help The Kroger Co ... Participate in CPG Merch JBPs and represent full CPG alt profit business needs. Triage off-strategy ...

84.51

Lead Client Success Manager

Cincinnati, OH · On-site

$95K - $125K/yr

Chicago, IL 84.51 is a retail data science, insights and media company. We help The Kroger Co ... Participate in CPG Merch JBPs and represent full CPG alt profit business needs. Triage off-strategy ...

84.51°

Lead Client Success Manager (P3880)

Cincinnati, OH · On-site

$17.75 - $19.75/hr

84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger ... Participate in CPG Merch JBPs and represent full CPG alt profit business needs. Triage off-strategy ...

Tremco CPG Inc.

Pricing Analyst (Sr)

Beachwood, OH

Tremco CPG is an aggressive, growth-oriented company with revenues of over $1 billion. We are a ... Continued learning on current data science methodologies (Python, Databricks, etc. * Analyzing ...

84.51°

Manager, Client Success

Cincinnati, OH · On-site

84.51° Overview: 84.51° is a retail data science, insights and media company. We help The Kroger ... with CPG and Kroger stakeholders, and ensures delivery of a consistent, high-quality client ...

84.51 ̊

Manager, Client Success

Cincinnati, OH · On-site

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer ... with CPG and Kroger stakeholders, and ensures delivery of a consistent, high-quality client ...

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All JobsData Scientist Cpg JobsData Scientist Cpg Jobs in Ohio

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 are popular job titles related to Data Scientist Cpg jobs in Ohio?

For Data Scientist Cpg jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Scientist Cpg jobs in Ohio look for?

The top searched job categories for Data Scientist Cpg jobs in Ohio are:

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

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

Data Scientist Cpg jobs near you
Infographic showing various Data Scientist Cpg job openings in Ohio as of August 2026, with employment types broken down into 94% Full Time, 3% Temporary, and 3% Contract. Highlights an 77% In-person, 5% Hybrid, and 18% Remote job distribution.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 26 days ago

Job description

Job Summary
We are seeking an experienced Data Scientist to drive causal inference, experimentation, measurement, personalization, and applied AI initiatives. The ideal candidate will have hands-on experience applying causal inference and econometric techniques to measure business impact, build production-ready machine learning solutions, and translate analytical insights into measurable business outcomes. Experience with Generative AI is a plus but not the primary requirement.
Key Responsibilities
  • Design and implement causal inference and causal machine learning solutions.
  • Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.
  • Apply statistical methods including:
    • Difference-in-Differences
    • Matching
    • Panel Data Models
    • CATE Estimation
    • Uplift Modeling
    • Heterogeneous Treatment Effect Modeling
  • Define treatments, control groups, counterfactuals, outcome metrics, and evaluation windows.
  • Build scalable, production-ready ML pipelines using software engineering and MLOps best practices.
  • Partner with business and product teams to convert business problems into scientific solutions.
  • Develop and integrate Generative AI solutions including RAG, prompt engineering, LLM workflows, fine-tuning, and agentic AI where applicable.
  • Evaluate emerging AI/ML technologies for production adoption.
  • Present technical findings and business impact to both technical and non-technical stakeholders.
  • Provide technical guidance and code reviews to team members.

Required Qualifications
  • 3+ years of applied Data Science experience.
  • Strong experience with causal inference, causal ML, econometrics, or experimentation.
  • Experience measuring treatment effects and incremental business impact.
  • Hands-on experience with:
    • Difference-in-Differences
    • Matching
    • CATE
    • Panel Data Analysis
    • Uplift Modeling
    • Heterogeneous Treatment Effects
  • Strong Python and SQL programming skills.
  • Experience with Git.
  • Experience developing production-quality ML or analytics solutions.
  • Strong analytical, communication, and problem-solving skills.
  • Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or related quantitative field.

Preferred Qualifications
  • Experience with Generative AI, RAG, Prompt Engineering, Fine-tuning, LLM Evaluation, or Agentic AI.
  • Experience with Azure, Databricks, or similar cloud platforms.
  • Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.
  • Experience building experimentation platforms or measurement pipelines.
  • Retail, CPG, media, personalization, loyalty, or customer analytics experience.
  • Experience mentoring technical teams.

Apply