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Bayesian Modeling Jobs in Michigan (NOW HIRING)

Apolis

Perception Engineer

Detroit, MI

Develop, test, and deploy machine learning models for perception tasks such as object detection and ... Bayesian filtering, and data association. * Hands-on experience with intrinsic and extrinsic ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

... Bayesian Inference, and machine learning-based forecasting techniques, to model and predict complex variables like market incentives, inventory management, sales forecasting, and operational ...

Domino's

Sr. Data Scientist (REF39029K)

Ann Arbor, MI · On-site

... models and strategic planning. Analyze market segmentation and pricing strategies to identify ... Applicants must have demonstrated experience with: 1) Bayesian methods, time series data and ...

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Bayesian Modeling information

What is the difference between Bayesian Modeling vs Data Scientist?

AspectBayesian ModelingData Scientist
Required CredentialsStatistics, Mathematics, Data AnalysisStatistics, Computer Science, Data Analysis
Work EnvironmentResearch-focused, statistical modelingCross-functional, data analysis, visualization
Industry UsageResearch, academia, specialized analyticsBusiness, tech, finance, healthcare
Common Search/ComparisonYesYes

Bayesian Modeling and Data Scientists often overlap in skills like statistics and data analysis. Bayesian Modeling specializes in probabilistic models and statistical inference, while Data Scientists have broader roles including data cleaning, visualization, and machine learning. Both roles are essential in data-driven industries, but Bayesian Modeling is more focused on advanced statistical techniques.

What are the key skills and qualifications needed to thrive as a Bayesian Modeler, and why are they important?

To thrive as a Bayesian Modeler, you need a solid background in statistics, probability theory, and mathematical modeling, often supported by an advanced degree in statistics, mathematics, or a related field. Proficiency with programming languages such as R, Python, or Stan, and experience with statistical software and Bayesian inference tools are essential. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting results and collaborating with multidisciplinary teams. These skills ensure accurate model development, reliable data-driven insights, and clear communication of complex findings to stakeholders.

How does a Bayesian Modeling specialist typically collaborate with cross-functional teams in a workplace setting?

Bayesian Modeling specialists often work closely with data scientists, software engineers, and domain experts to integrate probabilistic models into larger analytical or production systems. They are involved in translating complex statistical concepts into actionable insights and recommendations tailored to business needs. Effective communication is key, as they must present findings to both technical and non-technical stakeholders, ensuring that model assumptions and results are clearly understood. Collaboration may also include contributing to code reviews, sharing best practices for model validation, and mentoring colleagues on Bayesian methodologies.

What is Bayesian modeling?

Bayesian modeling is a statistical approach that uses Bayes' Theorem to update the probability of a hypothesis as more data becomes available. It incorporates prior beliefs or knowledge, combines them with observed data, and produces a posterior probability distribution to guide inference and decision-making. This approach is widely used in various fields such as machine learning, data science, and scientific research for tasks like parameter estimation, prediction, and model selection.
What are popular job titles related to Bayesian Modeling jobs in Michigan? For Bayesian Modeling jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Bayesian Modeling jobs in Michigan look for? The top searched job categories for Bayesian Modeling jobs in Michigan are:
What cities in Michigan are hiring for Bayesian Modeling jobs? Cities in Michigan with the most Bayesian Modeling job openings:
Bayesian Modeling jobs near you
Infographic showing various Bayesian Modeling job openings in Michigan as of June 2026, with employment types broken down into 4% As Needed, 68% Full Time, 4% Temporary, 20% Contract, and 4% Nights. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.
Data Scientist - Modeling and Analytics

Data Scientist - Modeling and Analytics

AAA Life Insurance Company

Livonia, MI • On-site

Full-time

Posted yesterday

Job description

Overview
Why AAA Life
AAA Life is a respected and trusted American brand that has been focusing on Life Insurance and Annuity Products since 1969. At AAA Life we have over 1.8 million policies where we take pride in earning the trust of our policyholders who understand our promise to be there for them - and their families - when we're needed most. By joining the AAA Life team, you are joining a company that genuinely cares about helping each other, with a devotion to protect the lives of those around us. We embrace a diverse, equitable, inclusive culture where all associates can feel a sense of belonging and use their unique talents and perspective to influence, innovate, motivate, and thrive.
How You'll Work
Work Solution: Hybrid
Responsibilities
What You'll Do
As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance.
  • Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models.
  • Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis.
  • Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement
  • Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques.
  • Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed.
  • Forecast campaign results based on models built and validate forecast against actuals.
  • Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms.
  • Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building
  • Proactively identify opportunities for model improvement and need for additional modeling projects.
  • Maintain clear and organized documentation of data, methodologies, and results.
  • Implement automation in existing processes to improve overall efficiency.
  • Perform ad hoc analysis to support Marketing Distribution efforts
  • Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements.

Qualifications
Qualifications
Basic Required Qualifications:
  • Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication.
  • Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference
  • Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts
  • Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences
  • Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan.
  • Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns.
  • Self-starter with the ability to identify priorities and focus on items with high business impact.
  • Ability to present complex analytical findings with persuasiveness and succinctness.

Preferred Qualifications:
  • Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling.
  • 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools.
  • Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills.
  • Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop)
  • Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling
  • High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation.
  • Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
AAA Life Insurance Company does not offer immigration sponsorship for this position. This includes visa types such as H-1B, TN, and STEM OPT. Please do not apply if you currently require or may require employer-sponsored immigration support now or in the future.
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