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Manager Causal Inference Jobs in Maryland (NOW HIRING)

GEICO

Senior Applied Research Scientist

Bethesda, MD · On-site

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Communication & Stakeholder Management: Communicate approach, trade-offs, and results to technical ...

Geico

Senior Applied Research Scientist

Bethesda, MD

$115K - $230K/yr

Experimentation & Causal Inference: Design online experiments and quasi-experimental analyses ... Communication & Stakeholder Management: Communicate approach, trade-offs, and results to technical ...

Axle

Director of Data Solutions

Rockville, MD · On-site

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... management, observability, on-call/incident processes (as appropriate), and runbooks. • Hire ...

Axle

Director of Data Solutions

Rockville, MD · On-site

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... management, observability, on-call/incident processes (as appropriate), and runbooks. • Hire ...

BULLFROG AI MANAGEMENT LLC

Principal Data Scientist

Gaithersburg, MD · On-site +1

$175K - $215K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied to life sciences and healthcare text Strong foundation in data engineering and databases Experience ...

Cisive

Senior Engineer, Data and AI

Annapolis, MD · On-site

$120 - $180/hr

Project Management: Ability to manage projects, prioritize tasks, and meet deadlines.Adaptability ... causal inference) to validate models and ensure sound decision-making.MLOps/LLMOps: Experience ...

Axle

Director of Data Solutions

Rockville, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...

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Manager Causal Inference information

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.

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.

What are the most commonly searched types of Causal Inference jobs in Maryland?

The most popular types of Causal Inference jobs in Maryland are:

What are popular job titles related to Manager Causal Inference jobs in Maryland?

For Manager Causal Inference jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Manager Causal Inference jobs in Maryland look for?

The top searched job categories for Manager Causal Inference jobs in Maryland are:

What cities in Maryland are hiring for Manager Causal Inference jobs?

Cities in Maryland with the most Manager Causal Inference job openings:

Manager Causal Inference jobs near you
Infographic showing various Manager Causal Inference job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability

Mathematica

Windsor Mill, MD

Full-time

Posted 6 days ago

Job description

Mathematica is hiring researchers with specific expertise inquantitative research methods, causal inference, and policy research, who willconduct studies and support program evaluation in the areas of public health, healthcare,and disability.
The researchers will support project teams in the planningand execution of rigorous, data-driven research project for clients such as:The Centers for Medicare & Medicaid Services, the Social SecurityAdministration, the Substance Abuse and Mental Health Services Administration,the Agency for Healthcare Research and Quality, the Health Resources &Services Administration the Office of the Assistant Secretary for Planning andEvaluation, leading health foundations, and numerous state and local agenciesand commercial clients.

Responsibilities and expectations:

  • Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and econometric analysis for describing or evaluating programs and policies
  • Draft reports, present findings to policy and professional audiences, and publish in professional journals
  • Help develop proposals for new research projects
  • Contribute to the growth, expertise, andinstitutional knowledge of other research staf

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