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Manager Economist Data Scientist Jobs (NOW HIRING)

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$120 - $150/hr

The ideal candidate will have hands-on experience applying causal inference and econometric ... Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.

Hudson Manpower

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

The ideal candidate will have hands-on experience applying causal inference and econometric ... Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.

Hudson IT

Data Scientist

Cincinnati, OH · On-site

The ideal candidate will have hands-on experience applying causal inference and econometric ... Experience with MLOps, deployment, orchestration, monitoring, and model lifecycle management.

Integrated Resources INC

Data Scientist

Newark, NJ

We deliver strategic workforce solutions that help you manage your talent and business more ... Build statistical and econometric models for various problems including: projections, clustering ...

Aep

Data Scientist (Mid-level - Principal)

Bridgman, MI

$116K - $151K/yr

Build reports for management as well as conducts basic hypothesis tests (contextualize basic levels ... Bachelor's degree in mathematics, operations research, statistics, economics, data science ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Richardson, TX · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Tempe, AZ · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · On-site

... economics, data science, quantitative marketing, operations research, industrial engineering, etc ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Aven

Data Scientist

Campbell, CA · On-site

Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ... Strong project management and organizational skills

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Strong communication skills and the ability to manage multiple, diverse stakeholders across ... economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Aven

Data Scientist

Campbell, CA · On-site

... learning, and econometric modeling on extensive datasets to drive data-driven decisions ... management and organizational skills Company : Aven's mission is to provide the lowest cost, most ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

... management. Skill/Experience Requirements: * Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or a closely related ...

Aven

Data Scientist

Campbell, CA · On-site

... machine learning and econometric models on large datasets to: measure results and outcomes ... management and organizational skills Company : Aven's mission is to provide the lowest cost, most ...

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Manager Economist Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do manager economist data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager economist data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a manager economist data scientist?

Manager Economist Data Scientists are professionals who combine expertise in data science, economics, and management. They lead teams that analyze data to provide economic insights, create predictive models, and inform business decisions. These professionals often oversee projects involving large datasets, apply economic theories, and use advanced analytics to solve organizational problems. Their role requires strong leadership, technical skills, and the ability to communicate complex findings to stakeholders.

How do manager economist data scientists balance technical data analysis with team leadership responsibilities?

Manager Economist Data Scientists often split their time between hands-on data analysis—such as building economic models and conducting statistical research—and managerial tasks like mentoring team members, overseeing project progress, and aligning data strategy with business goals. Effective communication is key, as the role requires translating complex analytical findings for stakeholders and collaborating across departments. Time management and delegation are crucial to ensure both technical depth and strong leadership within the team.

What are the key skills and qualifications needed to thrive as a manager economist data scientist?

Success as a Manager Economist Data Scientist requires a strong background in economics, statistical modeling, data analysis, and typically a master's or Ph.D. in a quantitative field. Expertise with programming languages like Python or R, machine learning frameworks, and data visualization tools is highly valuable, along with familiarity with big data platforms. Leadership, strategic thinking, and effective communication are crucial soft skills for guiding teams and translating complex findings to stakeholders. These competencies ensure impactful data-driven decisions, clear direction for teams, and alignment with organizational goals.

What is the difference between Manager Economist Data Scientist vs Data Analyst?

AspectManager Economist Data ScientistData Analyst
Required CredentialsMaster's or PhD in Economics, Data Science, or related fields; advanced statistical and programming skillsBachelor's degree in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentStrategic roles in corporate, finance, or government sectors; involved in high-level decision-makingOperational roles; focus on data collection, cleaning, and basic analysis
Employer & Industry UsageFinancial institutions, consulting firms, government agenciesRetail, marketing, healthcare, and other industries requiring data reporting

The Manager Economist Data Scientist typically holds advanced degrees and works on complex modeling and strategic analysis, whereas Data Analysts focus on data processing and reporting. Both roles are essential in data-driven organizations but differ in scope and expertise level.

How much do manager economist data scientists make?

Manager economist data scientists typically earn a salary ranging from $100,000 to $160,000 annually, depending on experience, location, and industry. They often require strong analytical skills, proficiency in statistical tools, and advanced degrees in economics or data science.

What cities are hiring for Manager Economist Data Scientist jobs?

Cities with the most Manager Economist Data Scientist job openings:

What are the most commonly searched types of Economist Data Scientist jobs?

The most popular types of Economist Data Scientist jobs are:

What states have the most Manager Economist Data Scientist jobs?

States with the most job openings for Manager Economist Data Scientist jobs include:

Manager Economist Data Scientist jobs near you

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$120 - $150/hr

Other

Posted 12 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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