As a Senior Data Scientist, you will lead the development of predictive and prescriptive models while collaborating with stakeholders to integrate analytical solutions into operational workflows.
As a Senior Data Scientist, you will lead the development of predictive and prescriptive models while collaborating with stakeholders to integrate analytical solutions into operational workflows.
Senior Data Scientist
Dearborn, MI · On-site
Build scalable predictive models, anomaly detection systems, forecasting solutions, recommendation systems, and generative AI applications. * Develop conversational AI and agent-assist solutions ...
Senior Data Scientist
Dearborn, MI · On-site
Build scalable predictive models, anomaly detection systems, forecasting solutions, recommendation systems, and generative AI applications. * Develop conversational AI and agent-assist solutions ...
Expert Data Scientist
Detroit, MI · On-site
Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit ...
Expert Data Scientist
Detroit, MI · On-site
Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit ...
Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit ...
Develops complex data sets and predictive models to support key decisions to improve safety, employee engagement, operation efficiency, product quality, and customer satisfaction (e.g., cost-benefit ...
Data Scientist
Detroit, MI · On-site
Responsibilities : • Analyze, manipulate and process large sets of data • Develop predictive/machine learning models from large sets of structured and unstructured data • Identify methods that ...
Data Scientist
Detroit, MI · On-site
Responsibilities : • Analyze, manipulate and process large sets of data • Develop predictive/machine learning models from large sets of structured and unstructured data • Identify methods that ...
Data & AI SCIENTIST
Auburn Hills, MI · On-site
The role involves building predictive models, analyzing large datasets, and collaborating with various stakeholders to support business analytics initiatives. Responsibilities : • Merge large ...
Data & AI SCIENTIST
Auburn Hills, MI · On-site
The role involves building predictive models, analyzing large datasets, and collaborating with various stakeholders to support business analytics initiatives. Responsibilities : • Merge large ...
Machine Learning Engineering
Dearborn, MI · On-site
Automate model lifecycle processes with CI/CD/CT and MLOps principles. Work on analytics pipelines supporting predictive modeling, data flows, and APIs. Ensure data quality, integrity, and compliance ...
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Machine Learning Engineering
Dearborn, MI · On-site
Automate model lifecycle processes with CI/CD/CT and MLOps principles. Work on analytics pipelines supporting predictive modeling, data flows, and APIs. Ensure data quality, integrity, and compliance ...
Design, build, and maintain predictive models that support customer expansion, including propensity-to-upgrade and engagement scoring models. * Use behavioral, usage, firmographic, and lifecycle data ...
Design, build, and maintain predictive models that support customer expansion, including propensity-to-upgrade and engagement scoring models. * Use behavioral, usage, firmographic, and lifecycle data ...
Data Science and Machine Learning Associate
$54K - $54K/yr
Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...
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Data Science and Machine Learning Associate
$54K - $54K/yr
Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data ...
... predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application. 4) statistical techniques and concepts ...
... predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application. 4) statistical techniques and concepts ...
... predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application. 4) statistical techniques and concepts ...
... predictive modeling and machine learning techniques (including classification, predictive, and artificial neural networks) and their real-world application. 4) statistical techniques and concepts ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
HR Analytics Data Scientist
Ann Arbor, MI · On-site
Design, build, validate, and maintain predictive models (e.g., attrition risk, internal mobility, workforce demand, workforce planning, TA funnel outcomes), including feature engineering, evaluation ...
Data Scientist
Okemos, MI · Hybrid
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...
Data Scientist
Okemos, MI · Hybrid
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...
Data Scientist
Okemos, MI · On-site
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...
Data Scientist
Okemos, MI · On-site
To implement quantitative and predictive models, data science experiments using literate programming techniques such as Python Jupyter Notebooks, develop appropriate visualizations of data, curate ...
WMS Business Analyst/Data Scientist (Mopar Parts & Services - North America)
Auburn Hills, MI · On-site
The role involves designing and maintaining data pipelines, collaborating with teams to integrate data, and building predictive models to support business needs. Responsibilities : • Design ...
WMS Business Analyst/Data Scientist (Mopar Parts & Services - North America)
Auburn Hills, MI · On-site
The role involves designing and maintaining data pipelines, collaborating with teams to integrate data, and building predictive models to support business needs. Responsibilities : • Design ...
Product Owner - Artificial Intelligence
Troy, MI · On-site
$120K - $155K/yr
... predictive models, optimization, GenAI exposure) • Supply Chain processes and systems (ERP, planning tools, logistics platforms) • Agile methodologies (Scrum, SAFe, etc.) Technical Understanding ...
Product Owner - Artificial Intelligence
Troy, MI · On-site
$120K - $155K/yr
... predictive models, optimization, GenAI exposure) • Supply Chain processes and systems (ERP, planning tools, logistics platforms) • Agile methodologies (Scrum, SAFe, etc.) Technical Understanding ...
Business Analytics Tutor
Ann Arbor, MI · Remote
$40/hr
Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...
Business Analytics Tutor
Ann Arbor, MI · Remote
$40/hr
Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...
Business Analytics Tutor
Detroit, MI · Remote
$40/hr
Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...
Business Analytics Tutor
Detroit, MI · Remote
$40/hr
Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...
Predictive Modeler information
See Michigan salary details
$9.01 - $14.78
4% of jobs
$14.78 - $20.55
1% of jobs
$20.55 - $26.32
2% of jobs
$26.32 - $32.09
0% of jobs
$32.09 - $37.87
3% of jobs
$37.87 - $43.64
8% of jobs
$45.71 is the 25th percentile. Wages below this are outliers.
$43.64 - $49.41
17% of jobs
The median wage is $52.80 / hr.
$49.41 - $55.18
24% of jobs
$58.92 is the 75th percentile. Wages above this are outliers.
$55.18 - $60.95
23% of jobs
$60.95 - $66.72
12% of jobs
$66.72 - $72.49
5% of jobs
$9
$51
$72
How much do predictive modeler jobs pay per hour?
As of Jun 8, 2026, the average hourly pay for predictive modeler in Michigan is $51.17, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $59.52 per hour, depending on experience, location, and employer.
How does a Predictive Modeler typically collaborate with data scientists and business stakeholders during a project?
Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.
What are predictive modelers?
Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.
What is the difference between Predictive Modeler vs Data Analyst?
| Aspect | Predictive Modeler | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analytics | Bachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools |
| Work Environment | Data science teams, analytics departments, often in tech, finance, or healthcare industries | Business units, marketing, finance, or operations teams across various industries |
| Employer & Industry Usage | Used for building predictive models to forecast trends and behaviors | Used for interpreting data, generating reports, and providing insights |
While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.
What are the key skills and qualifications needed to thrive as a Predictive Modeler, and why are they important?
To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
What are popular job titles related to Predictive Modeler jobs in MI? For Predictive Modeler jobs in MI, the most frequently searched job titles are:
Stellantis rating
7.4
Based on 124 frontline employees who took The Breakroom Quiz
17th of 44 rated automakers
Job description
Job Summary:
Stellantis is building an AI-enabled supply chain that enhances decision-making through advanced analytics. As a Senior Data Scientist, you will lead the development of predictive and prescriptive models while collaborating with stakeholders to integrate analytical solutions into operational workflows.
Responsibilities:
• Lead the design and development of predictive, prescriptive, and simulation models that support enterprise-level supply chain decisions
• Architect optimization frameworks that balance cost, service, capacity, and risk under real-world constraints
• Translate ambiguous business problems into structured analytical approaches and decision models
• Identify and quantify systemic risks, variability, and anomalies across supply chain operations
• Build scenario and simulation environments that enable leadership to evaluate strategic tradeoffs and 'what-if' conditions
• Partner with senior stakeholders to define requirements and influence decision‑making
• Ensure analytical outputs are integrated into AI agents, planning systems, and operational workflows
• Mentor other data scientists and elevate analytical standards across the team
• Drive best practices in data quality, feature engineering, model governance, and performance monitoring
Qualifications:
Required:
• Master’s degree in data science, statistics, computer science or related field
• 8+ years of professional experience, including 5+ years in supply chain analytics, optimization, or simulation
• Proven ability to operate independently, lead analytical workstreams end-to-end, and influence decisions with minimal oversight
• Strong proficiency in Python and SQL, with the ability to design scalable analytical pipelines
• Deep experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation methods (Monte Carlo, discrete event)
• Strong understanding of supply chain processes and the analytical levers that influence cost, service, and resilience
• Experience designing decision frameworks and translating them into optimization or prescriptive models
• Familiarity with machine learning techniques (clustering, tree-based models, neural networks) and their practical tradeoffs
• Experience with data manipulation libraries (pandas, NumPy) and ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow)
• Experience with big data platforms such as Spark, Databricks, or Snowflake
• Ability to communicate complex analytical concepts to senior leaders in clear, business-focused language
• Experience mentoring or leading technical contributors is a plus
Preferred:
• PhD
• Experience designing optimization or simulation models for supply chain decisions
• Background in stochastic modeling, network optimization, or discrete-event simulation
• Experience embedding predictive or prescriptive models into operational systems
• Strong executive communication skills and experience influencing senior stakeholders
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.
Stellantis is building an AI-enabled supply chain that enhances decision-making through advanced analytics. As a Senior Data Scientist, you will lead the development of predictive and prescriptive models while collaborating with stakeholders to integrate analytical solutions into operational workflows.
Responsibilities:
• Lead the design and development of predictive, prescriptive, and simulation models that support enterprise-level supply chain decisions
• Architect optimization frameworks that balance cost, service, capacity, and risk under real-world constraints
• Translate ambiguous business problems into structured analytical approaches and decision models
• Identify and quantify systemic risks, variability, and anomalies across supply chain operations
• Build scenario and simulation environments that enable leadership to evaluate strategic tradeoffs and 'what-if' conditions
• Partner with senior stakeholders to define requirements and influence decision‑making
• Ensure analytical outputs are integrated into AI agents, planning systems, and operational workflows
• Mentor other data scientists and elevate analytical standards across the team
• Drive best practices in data quality, feature engineering, model governance, and performance monitoring
Qualifications:
Required:
• Master’s degree in data science, statistics, computer science or related field
• 8+ years of professional experience, including 5+ years in supply chain analytics, optimization, or simulation
• Proven ability to operate independently, lead analytical workstreams end-to-end, and influence decisions with minimal oversight
• Strong proficiency in Python and SQL, with the ability to design scalable analytical pipelines
• Deep experience with predictive modeling (statistical, ML, deep learning), optimization techniques (LP, MIP, constraint programming), and simulation methods (Monte Carlo, discrete event)
• Strong understanding of supply chain processes and the analytical levers that influence cost, service, and resilience
• Experience designing decision frameworks and translating them into optimization or prescriptive models
• Familiarity with machine learning techniques (clustering, tree-based models, neural networks) and their practical tradeoffs
• Experience with data manipulation libraries (pandas, NumPy) and ML frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow)
• Experience with big data platforms such as Spark, Databricks, or Snowflake
• Ability to communicate complex analytical concepts to senior leaders in clear, business-focused language
• Experience mentoring or leading technical contributors is a plus
Preferred:
• PhD
• Experience designing optimization or simulation models for supply chain decisions
• Background in stochastic modeling, network optimization, or discrete-event simulation
• Experience embedding predictive or prescriptive models into operational systems
• Strong executive communication skills and experience influencing senior stakeholders
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.
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About Stellantis
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