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Behavioral Data Scientist Jobs in Ohio (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.

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 ... Measure the impact of business treatments on customer behavior, revenue, retention, and engagement.

Aptima Inc

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Translate quantitative results into clear, actionable insights for technical teams, behavioral scientists, and government stakeholders, bridging theory, data, and system implementation. * Lead ...

Aptima Inc. (All Jobs)

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Translate quantitative results into clear, actionable insights for technical teams, behavioral scientists, and government stakeholders, bridging theory, data, and system implementation. * Lead ...

Aptima, Inc

Senior Data Scientist

Fairborn, OH · On-site

$135K - $150K/yr

Translate quantitative results into clear, actionable insights for technical teams, behavioral scientists, and government stakeholders, bridging theory, data, and system implementation. * Lead ...

ClifyX

Senior Data scientist

Cincinnati, OH · On-site

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... Develop models that combine user behavior, product data, and contextual signals. Partner with ...

RELX

Sr Data Scientist II

Toronto, OH · On-site

The company employs over 2,000 technologists, data scientists, and experts to develop, test, and ... backoff, fallback behavior, configuration management, and secure handling of credentials.

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All JobsBehavioral Data Scientist JobsBehavioral Data Scientist Jobs in Ohio

Behavioral Data Scientist information

See Ohio salary details

$43.7K

$156.9K

$231.5K

How much do behavioral data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for behavioral data scientist in Ohio is $156,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,900.00 and $161,600.00 per year, depending on experience, location, and employer.

What does a behavioral data scientist do?

A Behavioral Data Scientist analyzes human behavior using data-driven methods, combining psychology, data science, and machine learning. They work with behavioral data from sources like user interactions, surveys, and experiments to identify patterns and make predictions. Their insights help businesses optimize decision-making, improve user experiences, and influence behavior. They often collaborate with product teams, marketers, and researchers to drive data-informed strategies.

What are some typical projects or tasks a behavioral data scientist might work on?

As a Behavioral Data Scientist, you may analyze user engagement patterns, design and evaluate A/B tests, and build predictive models to better understand customer behavior across digital platforms. You could collaborate closely with product managers, UX researchers, and marketing teams to interpret data and recommend strategies that improve user experiences. Projects often involve sifting through large datasets, contextualizing findings with behavioral theory, and presenting actionable insights to stakeholders. This role offers a dynamic mix of technical analysis and creative problem-solving, with opportunities to have a direct impact on business strategy and product development.

What are the key skills and qualifications needed to thrive as a behavioral data scientist, and why are they important?

To thrive as a Behavioral Data Scientist, you need a solid background in statistics, behavioral science, data analysis, and machine learning, typically supported by an advanced degree in a quantitative field. Expertise with programming languages such as Python or R, familiarity with data visualization tools, and experience using behavioral analytics platforms are highly valued, with certifications in data science being a plus. Strong communication skills, curiosity, and an ability to translate complex findings for non-technical audiences set top candidates apart. These skills ensure you can extract actionable insights from behavioral data, drive data-informed decisions, and collaborate effectively with multidisciplinary teams.

What are the most commonly searched types of Behavioral Data Scientist jobs in Ohio?

The most popular types of Behavioral Data Scientist jobs in Ohio are:

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

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

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

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

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

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

Behavioral Data Scientist jobs near you
Infographic showing various Behavioral Data Scientist job openings in Ohio as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $156,882 per year, or $75.4 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$120 - $150/hr

Other

Posted 8 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.


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