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Manager Causal Inference Jobs (NOW HIRING)

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.

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling. Collaborate with product managers, data scientists ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling. Collaborate with product managers, data scientists ...

Roku, Inc.

Sr. Research Data Scientist

Boston, MA · On-site

$330 - $375/hr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Roku

Senior Research Data Scientist

San Jose, CA

$330K - $375K/yr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Roku

Senior Research Data Scientist

Boston, MA · On-site

$330K - $375K/yr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Roku

Senior Research Data Scientist

New York, NY · On-site

$330K - $375K/yr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Jobtailor

Senior Product Manager

San Bruno, CA · On-site

$140 - $210/hr

Deep expertise in product analytics, experimentation, causal inference, metric design, and ... Option 2: 7 years' experience in product management or related area * Knowledge of WCAG 2.2 AA ...

Intuit Inc.

Senior Data Scientist

San Diego, CA · On-site

$120 - $160/hr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Senior Data Scientist

Mountain View, CA

$149K - $202K/yr

You will partner directly with cross-functional teams--across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

Roku

Senior Research Data Scientist

San Jose, CA · On-site

$330K - $375K/yr

What you'll be doing * Design, build, and productionize a causal inference platform that ... Work cross-functionally with Data Engineering, Product Management, and Core Analytics to translate ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

You will partner directly with cross-functional teams-across Product Management, Engineering, Data ... Causal Inference: Lead causal inference and econometric analyses to understand and influence key ...

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Manager Causal Inference information

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How much do manager causal inference jobs pay per year?

As of Aug 23, 2026, the average yearly pay for manager causal inference in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a manager causal inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

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

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.

How does a manager causal inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.
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Manager Causal Inference jobs near you
Infographic showing various Manager Causal Inference job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Data Scientist

Hudson Manpower

Cincinnati, OH • On-site

$55 - $60/hr

Full-time

Posted 17 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