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Weekend Economist Data Scientist Jobs (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 ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

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 ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

Hudson IT

Data Scientist

Cincinnati, OH · On-site

Job Summary We are seeking an experienced Data Scientist to drive causal inference, experimentation ... The ideal candidate will have hands-on experience applying causal inference and econometric ...

Integrated Resources INC

Data Scientist

Newark, NJ

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Build statistical and econometric models for various problems including: projections, clustering ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Richardson, TX · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Tempe, AZ · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Bloomington, IL · On-site

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.

Aven

Data Scientist

Campbell, CA · On-site

We are seeking a seasoned Data Scientist to collaborate closely with cross-functional teams. Your ... Leveraging your expertise in statistical analysis, machine learning, and econometric modeling on ...

Aven

Data Scientist

Campbell, CA · On-site

... learning, and econometric modeling on extensive datasets to drive data-driven decisions ... Required : • 5+ years of data science experience with a track record of thought leadership and ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Data Scientist Date: Aug 10, 2026 Location: Chesterfield, MO -Missouri, US, 63017 City ... This the reason why Bunge has one of the large economic analysis teams in the industry. Our ...

City of New York

Senior Data Scientist

Manhattan, NY · On-site

The Research and Analytics Division ("RAD") performs economic analysis in support of the agency's policy work, produces public-facing research products, provides data science and technologist support ...

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All JobsEconomist Data Scientist JobsWeekend Economist Data Scientist Jobs

Weekend Economist Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 19, 2026, the average yearly pay for weekend 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 the difference between Weekend Economist Data Scientist vs Weekend Economist Analyst?

AspectWeekend Economist Data ScientistWeekend Economist Analyst
Required CredentialsDegree in Economics, Data Science, or related field; proficiency in statistical software and programming languagesDegree in Economics, Business, or related field; strong analytical skills
Work EnvironmentData-driven projects, often involving coding and statistical analysis, typically in tech or finance sectorsResearch and report writing, often in media or research organizations
Employer & Industry UsageTech companies, financial institutions, research firmsMedia outlets, research organizations, government agencies

The Weekend Economist Data Scientist focuses on analyzing large datasets using programming and statistical tools, often in tech or finance industries. In contrast, the Weekend Economist Analyst emphasizes research, reporting, and interpretation of economic data, usually within media or research organizations. Both roles require strong economics knowledge but differ in technical skills and work environment.

What cities are hiring for Weekend Economist Data Scientist jobs?

Cities with the most Weekend 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 Weekend Economist Data Scientist jobs?

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

Weekend 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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