Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and ...
Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and ...
Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability
Ann Arbor, MI · On-site +1
$100K - $140K/yr
Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and ...
Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability
Ann Arbor, MI · On-site +1
$100K - $140K/yr
Collaborate with senior staff in a multidisciplinary environment to apply rigorous quantitative research methods, including study design, causal inference, data management, and statistical and ...
Senior Data Scientist - Multiomics and Population Cohorts
Ann Arbor, MI · On-site
$120 - $170/hr
Perform causal and genetic inference analyses (including Mendelian randomization and mediation ... Experience building reproducible pipelines using workflow managers (Snakemake, Nextflow, or ...
Senior Data Scientist - Multiomics and Population Cohorts
Ann Arbor, MI · On-site
$120 - $170/hr
Perform causal and genetic inference analyses (including Mendelian randomization and mediation ... Experience building reproducible pipelines using workflow managers (Snakemake, Nextflow, or ...
Perform causal and genetic inference analyses (including Mendelian randomization and mediation ... Experience building reproducible pipelines using workflow managers (Snakemake, Nextflow, or ...
Perform causal and genetic inference analyses (including Mendelian randomization and mediation ... Experience building reproducible pipelines using workflow managers (Snakemake, Nextflow, or ...
Apply statistical methods including causal inference, multivariate analysis, ANOVA, principal ... Experience in dynamic systems, controls, robotics, or prognostics and health management.
Apply statistical methods including causal inference, multivariate analysis, ANOVA, principal ... Experience in dynamic systems, controls, robotics, or prognostics and health management.
Vehicle Prognostics - Applied Data Scientist
Dearborn, MI · On-site
$85K - $160K/yr
... Networks, causal inference, Gaussian regression, etc. * 3+ Experience with Python (and related ... Experience in Dynamic Systems, Control, Robotics, Prognostics and Health Management * Familiarity ...
Vehicle Prognostics - Applied Data Scientist
Dearborn, MI · On-site
$85K - $160K/yr
... Networks, causal inference, Gaussian regression, etc. * 3+ Experience with Python (and related ... Experience in Dynamic Systems, Control, Robotics, Prognostics and Health Management * Familiarity ...
... Management (PHM). Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems. Experience with ... Causal Inference. By submitting your application, you acknowledge that recruiting technologies ...
... Management (PHM). Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems. Experience with ... Causal Inference. By submitting your application, you acknowledge that recruiting technologies ...
... causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization. * Experience developing customer models in support of loyalty, acquisition, retention, CRM, ...
... causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization. * Experience developing customer models in support of loyalty, acquisition, retention, CRM, ...
The current staff of 38 includes statisticians, database administrators, data managers, software ... for causal inference, and statistical monitoring approaches. In addition, successful candidates ...
The current staff of 38 includes statisticians, database administrators, data managers, software ... for causal inference, and statistical monitoring approaches. In addition, successful candidates ...
... causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization. * Experience developing customer models in support of loyalty, acquisition, retention, CRM, ...
... causal inference, uplift modeling, treatment-effect estimation, experimentation, or marketing optimization. * Experience developing customer models in support of loyalty, acquisition, retention, CRM, ...
Apply advanced methods such as time-series forecasting, causal inference, experimentation, natural ... Establish reproducible practices for dependency management, versioning, data lineage, experiment ...
Apply advanced methods such as time-series forecasting, causal inference, experimentation, natural ... Establish reproducible practices for dependency management, versioning, data lineage, experiment ...
Staff Data Scientist
Warren, MI · On-site
Apply advanced methods such as time-series forecasting, causal inference, experimentation, natural ... Establish reproducible practices for dependency management, versioning, data lineage, experiment ...
Staff Data Scientist
Warren, MI · On-site
Apply advanced methods such as time-series forecasting, causal inference, experimentation, natural ... Establish reproducible practices for dependency management, versioning, data lineage, experiment ...
Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Excellent time management and organization skills. Excellent interpersonal skills and demonstrated ... Experience with causal inference, particularly using structural equation modeling, is considered a ...
Proficient in advanced regression modeling, causal inference, longitudinal, and time series ... metadata management, data cataloging) * Experience producing technical documentation (data ...
Proficient in advanced regression modeling, causal inference, longitudinal, and time series ... metadata management, data cataloging) * Experience producing technical documentation (data ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works alongside world-class engineers, data scientists, and product managers to shape the future of search ...
Manager Causal Inference information
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.
What are the most commonly searched types of Causal Inference jobs in Michigan?
The most popular types of Causal Inference jobs in Michigan are:
What are popular job titles related to Manager Causal Inference jobs in Michigan?
For Manager Causal Inference jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Michigan look for?
The top searched job categories for Manager Causal Inference jobs in Michigan are:
What cities in Michigan are hiring for Manager Causal Inference jobs?
Cities in Michigan with the most Manager Causal Inference job openings:
Quantitative Researcher - Public Health, Healthcare Evaluation, & Disability
Ann Arbor, MI • On-site
Full-time
Posted 12 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
About Mathematica
Sourced by ZipRecruiter
Industry
Scientific research and development services
Company size
1,001 - 5,000 Employees
Headquarters location
Princeton, NJ, US