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Data Scientist - Commercial Analytics
#2017538
Auburn Hills, Michigan, United States
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Job Description
The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power commercial performance measurement and growth while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases.
Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making.
Communicate complex results clearly to both technical and non-technical audiences.
Partner with data engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage.
Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks.
Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling.
Contribute to the maintenance of models in production environments, ensuring scalability and performance.
Conduct peer code reviews and support best practices in model development and deployment.
Collaborate with both external and internal resources to support business requirements and key KPI measurement
Location(s)
1000 Chrysler Drive, Auburn Hills, Michigan 48326, United States
Requirements
Basic Qualifications:
Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
Minimum of 3 years of experience in data science, econometrics or a related field
Proficiency in Python and SQL
Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
Strong grasp of machine learning algorithms like:
Regression (linear, logistic)
Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
Tree-based models (Random Forest, XGBoost, LightGBM)
Neural networks
Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
Ability to translate complex data into actionable insights for business stakeholders
Preferred Qualifications:
Master's degree in a quantitative discipline (e.g., Statistics, Economics, Computer Science or other quantitative field)
Automotive experience
2+ years of experience working with commercial data
Experience using PySpark for distributed data processing and feature engineering
Strong communication and storytelling skills with the ability to influence decision-makers
Understanding of CI/CD workflows for automating model testing and deployment
Experience working with real-time data pipelines and event-driven architectures
Experience with experimental design, and statistical inference
Exposure to feature stores and model registries in MLOps environments
Experience with Power BI or similar tools for data visualization and dashboarding
Employment Type
Full-time
Stellantis
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Additional Job Posting Information
Our Benefits - Designed with You in Mind
Comprehensive Health & Well-being Coverage
From your very first day, you'll have access to medical, dental, vision, and prescription drug coverage - ensuring you and your family stay healthy and protected.
Generous Paid Time Off
We believe in work-life balance. That's why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.
Competitive Retirement Savings Plans
We help you plan for the future with:
An employer match on contributions to your 401k, Roth, and Catch-Up plans
An employer contribution, even if you don't contribute
Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs - because your peace of mind matters.
Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.
Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.
Support for Your Growth and Giving Back
We believe in investing in your future and your passions:
Tuition reimbursement
Student loan refinancing programs
18 paid volunteer hours each year to make a difference in your community
And so much more!
When you join us, you're not just building a career - you're joining a company that supports you, inside and outside of work.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
