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Manager Causal Inference Jobs in Detroit, MI (NOW HIRING)

Data Scientist

Dearborn, MI · On-site +1

$66K - $186K/yr

... causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Strong understanding of A/B testing, experimental design, and causal inference techniques. * Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Strong understanding of A/B testing, experimental design, and causal inference techniques. * Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in ...

Data Scientist

Dearborn, MI · On-site

$66K - $186K/yr

... causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and ...

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

... managed machine learning services. 3. A/B testing design, implementation, and analysis, and ... causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost ...

Manager Causal Inference information

See Detroit, MI salary details

$28.7K

$103.5K

$116.8K

How much do manager causal inference jobs pay per year?

As of Jul 15, 2026, the average yearly pay for manager causal inference in Detroit, MI is $103,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,900.00 and $115,300.00 per year, depending on experience, location, and employer.

How does a Manager of 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 of Causal Inference, and why are they important?

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 Detroit, MI? The most popular types of Causal Inference jobs in Detroit, MI are:
What are popular job titles related to Manager Causal Inference jobs in Detroit, MI? For Manager Causal Inference jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Detroit, MI look for? The top searched job categories for Manager Causal Inference jobs in Detroit, MI are:
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • On-site, Remote

$66K - $186K/yr

Full-time

Medical, Dental, Life, PTO

Posted 11 hours ago


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Bachelor's degree or foreign equivalent in Computer Science, Data Science or a related field and 6 months of experience in the job offered or a related occupation.   6 months of experience with each of the following skills is required: 1. Utilizing programming languages including Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users.  Education and/or experience must include:  1. Utilizing SQL for data processing and analysis, including extracting, cleaning, and transforming data in large, complex databases. 2. Extracting actionable insights from data by designing and developing machine-learning-driven predictive models, including time-series forecasting and causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and dashboards using tools including Python libraries Matplotlib and Seaborn.

We are offering a salary of $66,102.00 - $186,624.00/yr. 

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time

For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-DNI

#DNP

Bachelor's degree or foreign equivalent in Computer Science, Data Science or a related field and 6 months of experience in the job offered or a related occupation.   6 months of experience with each of the following skills is required: 1. Utilizing programming languages including Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users.  Education and/or experience must include:  1. Utilizing SQL for data processing and analysis, including extracting, cleaning, and transforming data in large, complex databases. 2. Extracting actionable insights from data by designing and developing machine-learning-driven predictive models, including time-series forecasting and causal inference testing. 3. Applying ANOVA, Bayesian statistical analysis, regression principles, and statistical techniques for data analysis. 4. Developing and managing data visualizations and dashboards using tools including Python libraries Matplotlib and Seaborn.

We are offering a salary of $66,102.00 - $186,624.00/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Drive improvements in Ford's supply chain operations through big data analysis and modeling. Develop innovative tools that translate complex data into actionable insights for key stakeholders. Leverage cutting-edge technologies to support more informed decision-making. Leverage advanced data analytics and the latest tools to solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of the company. Extract actionable insights from data. Extract, clean, and transform data in large, complex, nested databases. Utilize programming languages in a cloud platform. Perform research, analysis, data science and solution development. Execute digital transformation projects to improve supply chain operations. Deliver tangible value for customers and stakeholders through data-driven insights and solutions.

What you'll be able to do:

Data Scientist - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Drive improvements in Ford's supply chain operations through big data analysis and modeling. Develop innovative tools that translate complex data into actionable insights for key stakeholders. Leverage cutting-edge technologies to support more informed decision-making. Leverage advanced data analytics and the latest tools to solve complex business problems, improve operational efficiency, and make data-driven decisions that impact the future of the company. Extract actionable insights from data. Extract, clean, and transform data in large, complex, nested databases. Utilize programming languages in a cloud platform. Perform research, analysis, data science and solution development. Execute digital transformation projects to improve supply chain operations. Deliver tangible value for customers and stakeholders through data-driven insights and solutions. 


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982