The Lead Decision Science Analyst will translate data into strategic insights that influence product, marketing, and business decisions, focusing on causal inference and experimentation while ...
The Lead Decision Science Analyst will translate data into strategic insights that influence product, marketing, and business decisions, focusing on causal inference and experimentation while ...
Research Professional - Eyal Frank (Full-Time, Benefits Eligible)
Chicago, IL · On-site
$55K - $62K/yr
The project will use causal inference methods, as well as recent advances in machine learning methods in augmenting causal inference analysis. In addition, the projects will use satellite-derived ...
Research Professional - Eyal Frank (Full-Time, Benefits Eligible)
Chicago, IL · On-site
$55K - $62K/yr
The project will use causal inference methods, as well as recent advances in machine learning methods in augmenting causal inference analysis. In addition, the projects will use satellite-derived ...
Research Professional - Eyal Frank (Full-Time, Benefits Eligible)
Chicago, IL · On-site
$55K - $62K/yr
The project will use causal inference methods, as well as recent advances in machine learning methods in augmenting causal inference analysis. In addition, the projects will use satellite-derived ...
Research Professional - Eyal Frank (Full-Time, Benefits Eligible)
Chicago, IL · On-site
$55K - $62K/yr
The project will use causal inference methods, as well as recent advances in machine learning methods in augmenting causal inference analysis. In addition, the projects will use satellite-derived ...
Principal Economist, GTM Science
Chicago, IL · On-site
$168K - $269K/yr
Advanced Econometric & Causal Inference Expertise: Deep grounding in causal inference methodologies, including causal forests, treatment-effect heterogeneity, synthetic control, and difference-in ...
Principal Economist, GTM Science
Chicago, IL · On-site
$168K - $269K/yr
Advanced Econometric & Causal Inference Expertise: Deep grounding in causal inference methodologies, including causal forests, treatment-effect heterogeneity, synthetic control, and difference-in ...
Senior Machine Learning Engineer
Chicago, IL · On-site +1
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Senior Machine Learning Engineer
Chicago, IL · On-site +1
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Principal Data Scientist
Mettawa, IL · On-site
$124K/yr
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Principal Data Scientist
Mettawa, IL · On-site
$124K/yr
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Staff Machine Learning Engineer
Chicago, IL · On-site +1
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Staff Machine Learning Engineer
Chicago, IL · On-site +1
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Principal Data Scientist
Mettawa, IL · On-site
$150 - $210/hr
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Principal Data Scientist
Mettawa, IL · On-site
$150 - $210/hr
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Quick apply
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this ...
Principal Data Scientist
Mettawa, IL · On-site
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Principal Data Scientist
Mettawa, IL · On-site
Stay current with advances in applied machine learning, causal inference, and pharmaceutical analytics, proactively identifying and piloting emerging methods that could enhance the existing and new ...
Applied Scientist III - Shipper Pricing
Chicago, IL · On-site +1
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Applied Scientist III - Shipper Pricing
Chicago, IL · On-site +1
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...
Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Expertise in observational causal inference or statistical analysis * Proficiency in Python, SQL and Spark Preferred Qualifications * Experience developing NN algorithms * Experience in developing ...
Director, Data Science
Chicago, IL · On-site
Experience with causal inference, experimental design, or behavioral modeling * Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets * A demonstrated ...
Director, Data Science
Chicago, IL · On-site
Experience with causal inference, experimental design, or behavioral modeling * Experience developing statistical methods for consumer, retail, marketing, or longitudinal datasets * A demonstrated ...
Lead, Workforce Intelligence
Chicago, IL · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Lead, Workforce Intelligence
Chicago, IL · On-site
Deep understanding of experimental design, causal inference, and computational statistics. * Communication : Exceptional skills in translating complex technical concepts for non-technical audiences ...
Causal Inference information
Is causal inference still relevant?
Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.
What skills and qualifications are needed for a causal inference position?
Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.
What jobs use causal inference?
Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.
What are common challenges faced in a causal inference position?
Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.
What is a causal inference?
A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.
What are the most commonly searched types of Causal Inference jobs in Illinois? The most popular types of Causal Inference jobs in Illinois are:
What are popular job titles related to Causal Inference jobs in Illinois? For Causal Inference jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Illinois look for? The top searched job categories for Causal Inference jobs in Illinois are:
What cities in Illinois are hiring for Causal Inference jobs? Cities in Illinois with the most Causal Inference job openings:
Full-time
Re-posted 28 days ago
Job description
Job Summary:
Chamberlain Group (CG) is a global leader in intelligent access and a Blackstone portfolio company, known for its myQ technology. The Lead Decision Science Analyst will translate data into strategic insights that influence product, marketing, and business decisions, focusing on causal inference and experimentation while collaborating with cross-functional leaders.
Responsibilities:
• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
• Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
• Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
• Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
• Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
• Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
• Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
• Develop a deep understanding of relevant data from various data platforms.
• Translate complex business requirements into analytical frameworks.
• Ensure data accuracy and integrity in all analytics and reporting.
• Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.
Qualifications:
Required:
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
• 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
• 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
• 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
• Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
• Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
• Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
• Strong understanding of business processes and strategic planning
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
• Proven track record of leading projects and cross-functional teams
• Strong problem-solving skills and the ability to think analytically.
• Ability to work independently and collaboratively in a fast-paced environment.
Preferred:
• MBA or Master’s degree in a related field
• Experience with Azure (or other cloud environments) and Databricks
• Understanding of data warehouse/data modeling concepts and procedures
• Experience creating calculated metrics, managing and blending data models within Power BI
• Experience with IoT, SaaS, and/or intelligent consumer products & services
• Experience working with customer-facing digital experiences, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
• Experience with Salesforce, SAP, and CDP platforms such as Tealium
• Experience with Project Management/Tracking tools such as Jira
• Experience building and creating web-based data visualizations.
• Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
• Understanding of data warehouse/data modeling concepts and procedures
• Strong understanding of financial concepts and analytics
• Working with a software/technology organization
Company:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Founded in 1906, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Chamberlain Group (CG) is a global leader in intelligent access and a Blackstone portfolio company, known for its myQ technology. The Lead Decision Science Analyst will translate data into strategic insights that influence product, marketing, and business decisions, focusing on causal inference and experimentation while collaborating with cross-functional leaders.
Responsibilities:
• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
• Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
• Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
• Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
• Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
• Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
• Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
• Develop a deep understanding of relevant data from various data platforms.
• Translate complex business requirements into analytical frameworks.
• Ensure data accuracy and integrity in all analytics and reporting.
• Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential.
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.
Qualifications:
Required:
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
• 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
• 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
• 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
• Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
• Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
• Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
• Strong understanding of business processes and strategic planning
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
• Proven track record of leading projects and cross-functional teams
• Strong problem-solving skills and the ability to think analytically.
• Ability to work independently and collaboratively in a fast-paced environment.
Preferred:
• MBA or Master’s degree in a related field
• Experience with Azure (or other cloud environments) and Databricks
• Understanding of data warehouse/data modeling concepts and procedures
• Experience creating calculated metrics, managing and blending data models within Power BI
• Experience with IoT, SaaS, and/or intelligent consumer products & services
• Experience working with customer-facing digital experiences, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
• Experience with Salesforce, SAP, and CDP platforms such as Tealium
• Experience with Project Management/Tracking tools such as Jira
• Experience building and creating web-based data visualizations.
• Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
• Understanding of data warehouse/data modeling concepts and procedures
• Strong understanding of financial concepts and analytics
• Working with a software/technology organization
Company:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Founded in 1906, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.