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Contract Causal Inference Jobs (NOW HIRING)

Mondo

Lead Decision Science Analyst

Oak Brook, IL · Remote

$80 - $90/hr

Start date is ASAP for this 6-Month Contract-to-Hire position. Job Title: Lead Decision Science ... Design, analyze, and interpret A/B tests and other causal inference approaches, ensuring test ...

ConfigUSA

Data Scientist

Saint Louis, MO · On-site

St Louis, MO - Onsite Position Duration: 6 months GC/USC Highly Preferred - Potential contract to ... Experience working with observational data to attempt causal inference (e.g. matching, weighting ...

Guidehouse

Biostatistician Lead

Charlotte, NC

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Guidehouse

Biostatistician Lead

Beavercreek, OH · On-site

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Staffingine LLC

Artificial Intelligence Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract * Lead the development and deployment of machine learning models and analytical solutions ... Strong knowledge of statistics experimental design and causal inference. * Handson experience with ...

Guidehouse

Biostatistician Lead

Houston, TX

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Guidehouse

Biostatistician Lead

Atlanta, GA

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Guidehouse

Biostatistician Lead

Huntsville, AL · On-site

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Guidehouse

Biostatistician Lead

San Antonio, TX · On-site

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

Guidehouse

Biostatistician Lead

San Antonio, TX · On-site

Guide methodological decisions related to study design, causal inference, quasi-experimental ... Role is contingent upon contract award What You Will Need: * Must be a U.S. Citizen or Permanent ...

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Contract Causal Inference information

What is a contract causal inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a contract causal inference specialist?

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

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Contract Causal Inference jobs near you
Infographic showing various Contract Causal Inference job openings in the United States as of August 2026, with employment types broken down into 6% Internship, 64% Full Time, 6% Part Time, and 24% Contract. Highlights an 70% In-person, 6% Hybrid, and 24% Remote job distribution.

Sr. Data Scientist (Causal Inference & Experimentation)

Apidel Technologies

Cincinnati, OH • On-site

Other

Posted 28 days ago

Job description

Duration: 12+ Months (Contract-to-Hire)
Location: Cincinnati, OH (Onsite 5 Days/Week)
Candidates willing to relocate within the first 2 months will be considered.
Job Summary:
o Seeking a Senior Data Scientist to develop and scale AI and advanced analytics solutions focused on experimentation, causal inference, and customer insights. The ideal candidate will have expertise in statistical modeling, econometrics, Generative AI, and production machine learning while partnering with cross-functional teams to deliver business-impacting solutions.
Required Skills:
o 3+ years of hands-on Data Science experience.
o Strong experience with Causal Inference, Causal ML, and Econometrics.
o Experience designing and analyzing A/B tests, experimentation, and treatment effect measurement.
o Hands-on experience with Generative AI, including LLMs, Prompt Engineering, RAG, or Agentic AI.
o Strong programming skills in Python, SQL, and Git.
o Experience with Azure, Databricks, or similar cloud-based ML platforms.
o Experience building and deploying production ML solutions using software engineering best practices
o Strong communication skills with the ability to translate technical findings into business value
o Bachelor''s or Master''s degree in Data Science, Statistics, Computer Science, Economics, Applied Mathematics, or a related quantitative field
Preferred Skills:
o MLOps (CI/CD, model deployment, monitoring).
o Retail, CPG, eCommerce, or customer analytics experience.
o Personalization, recommendation systems, or loyalty analytics.
o Experience mentoring or leading technical initiatives.
Key Responsibilities:
o Design, develop, and deploy AI and Generative AI solutions using LLMs, RAG, and agentic workflows.
o Apply causal inference and econometric methods to measure business impact and customer behavior.
o Build scalable ML models and experimentation frameworks for production environments.
o Partner with product managers and business stakeholders to define analytics strategy and prioritize initiatives.
o Research and implement emerging AI/ML technologies to improve business outcomes.
o Communicate complex analytical insights to both technical and non-technical audiences.
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About Apidel Technologies

Sourced by ZipRecruiter

We understand that attracting, qualifying, placing, and retaining the best candidates for our clients requires exceptional talent. That’s why our highly skilled and dedicated recruitment team works tirelessly to develop lifelong associations with all candidates and clients. We prioritize helping our employees achieve their career goals while providing effective staffing solutions to our clients and candidates. At Apidel, we believe in simple yet established core values that are ingrained within each member of our team. These values are time and again illustrated in our approach to employees, candidates, and clients. Our unwavering belief that our core values of integrity, client satisfaction, innovation, and intellect distinguish us from our competitors is what drives us forward. We remain focused on improving and sustaining a measurable client satisfaction program that has created an organizational culture where our associates provide world-class service every day.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Plainfield, IL, US

Year founded

2012

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