1

Contract Causal Inference Jobs in Michigan (NOW HIRING)

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

... inference questions. Ability to explain argument structure, conditional logic, causal reasoning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Causal Inference information

What is a contract causal inference specialist?

A Contract Causal Inference specialist is a professional who applies statistical and analytical methods to determine cause-and-effect relationships within data, typically on a contractual or project basis. These specialists are often brought in to analyze business, healthcare, or social science data to help organizations make evidence-based decisions. They use techniques such as randomized controlled trials, regression analysis, and propensity score matching to isolate causal impacts. Contract roles are usually temporary and focused on specific projects or questions. This position requires strong statistical knowledge, programming skills, and the ability to communicate findings to non-technical stakeholders.

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

To thrive as a Contract Causal Inference Specialist, you need a strong background in statistics, econometrics, or data science, typically with an advanced degree in a quantitative field. Proficiency with statistical software like R, Python, and specialized causal inference packages, as well as experience with data wrangling tools, is essential. Exceptional analytical thinking, clear communication, and attention to detail are valuable soft skills for interpreting results and collaborating with clients. These competencies are vital for delivering robust, actionable insights that drive evidence-based decision-making in a contractual setting.

What are some common challenges faced by professionals in contract causal inference roles, and how can they be addressed?

Professionals in contract causal inference roles often encounter challenges such as working with incomplete or messy datasets, ensuring the validity of assumptions in causal models, and effectively communicating complex findings to stakeholders. Addressing these issues typically involves using robust statistical techniques, performing thorough data cleaning, and engaging in transparent documentation of the modeling process. Additionally, collaborating closely with subject matter experts and stakeholders can help clarify project goals and improve the relevance and impact of your analyses.

What is the difference between Contract Causal Inference vs Data Analyst?

AspectContract Causal InferenceData Analyst
Required CredentialsStatistics, Data Science, or related certifications; often advanced degreesBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch-focused, project-based, often in consulting or academiaBusiness environments, analyzing data to inform decisions
Employer & Industry UsageResearch institutions, consulting firms, tech companiesCorporations, marketing agencies, finance, healthcare
Search & Comparison IntentUnderstanding causal relationships, research projectsData analysis, reporting, business insights

Contract Causal Inference specialists focus on identifying cause-and-effect relationships through research and statistical methods, often in consulting or academic settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Contract Causal Inference emphasizes causal modeling and research, whereas Data Analysts focus on descriptive and diagnostic analysis.

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 Contract Causal Inference jobs in Michigan?

For Contract Causal Inference jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Contract Causal Inference jobs in Michigan look for?

The top searched job categories for Contract Causal Inference jobs in Michigan are:

What cities in Michigan are hiring for Contract Causal Inference jobs?

Cities in Michigan with the most Contract Causal Inference job openings:

Infographic showing various Contract Causal Inference job openings in Michigan as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Manager, Multi-Touch Attribution

Dearborn, MI • On-site

Ford Motor Company
Motor Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Dental, Vision, Life, PTO

Posted 12 days ago


Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 528 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers


Job description

We made history and now we work to transform the future - for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

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.

In this position... 

Ford Marketing Analytics is seeking a highly capable, technically grounded, and detail-oriented Manager to lead the team responsible for the enterprise's Multi-Touch Attribution (MTA) capability. This leadership role will manage a team of 8 people responsible for vendor data management, marketing analytics request intake and delivery, marketing taxonomy governance, and the analytical methods that underpin attribution insight, in partnership with Ford's media agency.

This team plays a critical role in enabling Marketing to understand the effectiveness and efficiency of its media investments across the customer journey. The team's work spans managing the relationship and data pipeline with Ford's MTA vendor, fielding and prioritizing analytics requests from Marketing stakeholders, applying statistical and data science methods to validate and enhance attribution outputs, delivering dashboards and reporting that translate attribution data into actionable insight, and ensuring the campaign taxonomy that underpins all attribution data is accurate, consistent, and governed in close partnership with the agency.

This individual will combine strong data science, data management, analytics, and business acumen with the ability to translate complex, cross-functional data challenges into reliable, trusted marketing measurement products. They will partner closely with stakeholders across Ford Retail, Model e, Ford Pro, and Lincoln Marketing, the MTA vendor, and Ford's media agency to manage data quality, prioritize the analytics backlog, oversee vendor budget and contract performance, evaluate and improve attribution methodology, and ensure taxonomy standards are consistently applied across campaigns. This role leverages Google Cloud Platform (GCP), Python, and SQL to manage recurring data refresh processes and analytical workflows that feed the attribution ecosystem.

What you'll do...

  • Manage intake, prioritization, and delivery of analytics requests from Marketing stakeholders, balancing ad hoc needs with the broader roadmap.
  • Lead and develop a team of 8 people responsible for MTA vendor data management, marketing analytics delivery, statistical/data science analysis, and taxonomy governance.
  • Establish a high-performing, collaborative team culture that emphasizes technical rigor, accountability, continuous learning, and strong business partnership.
  • Coach, mentor, and support the career development and performance management of team members.
  • Own the end-to-end relationship with Ford's MTA vendor, including data ingestion, service performance, methodology evaluation, issue resolution, and contract oversight.
  • Oversee data quality and validation processes, including statistical checks and anomaly detection, to ensure MTA data feeding dashboards and reporting is accurate, complete, and trustworthy.
  • Apply and guide the use of statistical methods, causal inference, and incrementality/lift analysis to validate attribution outputs and strengthen confidence in measurement results.
  • Oversee recurring data refresh processes run on Google Cloud Platform (GCP), leveraging SQL and Python to support and automate the attribution data pipeline.
  • Own and manage the team's backlog, ensuring priorities align with Marketing leadership objectives and available capacity.
  • Direct the development and delivery of dashboards and reporting that translate attribution and measurement data into clear, actionable insight for Marketing stakeholders.
  • Partner with Ford's media agency to define, govern, and enforce campaign taxonomy standards, ensuring consistent naming conventions across all campaigns and channels.
  • Serve as the primary escalation point for taxonomy, data quality, methodology, and vendor-related issues, resolving blockers and driving timely upward escalation when needed.
  • Build strong relationships with stakeholders across Marketing, the MTA vendor, and the agency to drive adoption of attribution insights and measurable business impact.
  • Communicate complex data, statistical, and measurement concepts, results, and recommendations clearly to technical and non-technical audiences.
  • Ensure best practices, data privacy standards, and organizational policies are followed across all vendor and agency data exchanges.
  • Utilize AI/ML and Generative AI tools to drive efficiencies in workload, automate analysis, and derive deeper insights for Marketing business partners.
  • Work with Data Fulfillment and Data Factory for any new data enhancements.
  • Provide an excellent example of and expectation for Ford+ behaviors within the Marketing Analytics team.
  • Implement "Close the Loop," OKR, and Performance+ objectives and processes within Marketing Analytics.

You'll have...

  • Bachelor's degree in Data Science, Statistics, Marketing Analytics, Computer Science, Mathematics, Business, or a related quantitative field.
  • 5+ years of experience in marketing analytics, data analytics, data science, media measurement, or a related field.
  • 2+ years of experience leading technical or analytics teams.
  • Working proficiency in SQL and Python for data analysis, validation, and automation.
  • Strong working knowledge of statistical methods (e.g., hypothesis testing, regression, incrementality/lift analysis) applied to marketing measurement.
  • Experience managing vendor relationships, including data delivery, budget, and contract performance.
  • Experience with marketing/media taxonomy, campaign tagging standards, or attribution data structures.
  • Strong data quality and validation skills, with the ability to identify, troubleshoot, and resolve data issues across systems.
  • Experience delivering dashboards and reporting to business stakeholders.

Even better, you may have...

  • Advanced degree in Data Science, Marketing Analytics, Statistics, Business, or a related field.
  • 10+ years of relevant marketing analytics, data science, or media measurement experience.
  • 5+ years of experience leading, coaching, or managing teams.
  • Direct experience with Multi-Touch Attribution (MTA) platforms, methodologies, and/or Media Mix Modeling (MMM).
  • Applied experience with causal inference, uplift modeling, or experimentation design to evaluate marketing effectiveness.
  • Hands-on experience building or validating statistical/machine learning models in Python (e.g., regression, classification, time-series).
  • Experience with Google Cloud Platform (GCP) or other cloud-based data and machine learning platforms.
  • Experience working with media agencies on taxonomy governance and campaign tagging standards.
  • Familiarity with dashboarding and BI tools (e.g., Qlik, Looker, Power BI).
  • Experience applying Generative AI tools to improve data science and analytics workflows.
  • Experience in automotive, mobility, MarTech, or marketing measurement/optimization functions.
  • Demonstrated success driving adoption of analytics products across complex, cross-functional organizations.

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 of the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, vision and prescription drug coverage

Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, 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. 

This position is leadership level 6 and ranges from $132,800-$250,800. 

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

For more information on salary and benefits, click here: New Hire Benefits

Visa sponsorship is not available for this position.

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-Remote

#LI-MG1


What Ford Motor Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom