Data Scientist
Indexed description
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 models using techniques such as regression, optimization (linear programming, dynamic programming, etc.), gradient boosting, dimensionality reduction 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
- Bachelor’s degree in a quantitative discipline (e.g., Operations Research, Applied Mathematics, Optimization, Data Science or other quantitative field)
- Automotive experience
- Minimum of 5 years of experience in operations research, systems engineering, data science, 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 mathematical concepts like:
- Regression (linear, logistic)
- Linear & Non-Linear Programming
- Network Flow Models
- Dynamic Programming
- Simulation
- Stochastic Optimization
- Tree-based models (Random Forest, XGBoost, LightGBM)
- Neural networks
- Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
- Experience communicating optimization tradeoff and recommendations to executive stakeholders
Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.
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
Company Vehicle Lease Program
Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.
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
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.
EOE / Disability / Veteran
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