The Data Scientist role focuses on partnering with business stakeholders to identify opportunities where machine learning and analytics can support data-driven decision-making across a variety of customer-focused use cases. This role is central to data exploration, insight generation, agile model development, and translating results into clear, actionable recommendations for non-technical audiences.
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.
As a Data Scientist, You Will
- Collaborate with business stakeholders to identify high-impact opportunities for analytics and machine learning use cases
- Translate business questions into analytical problems and develop models to support personalization, journey orchestration, loyalty, customer lifetime value, and customer segmentation
- Design and implement test-and-learn frameworks to measure the impact of data-driven initiatives
- 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, 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
Basic Qualifications - Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics)
- 3+ years of experience in data science, analytics, or a related field, with a Bachelors
- Proficiency in Python and SQL
- Experience using PySpark for distributed data processing and feature engineering
- Familiarity with Customer Data Platforms (CDPs) and integrating customer data across systems
- Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
- Strong grasp of machine learning algorithms including (2-3 at least):
- Regression (linear, logistic)
- Tree-based models (Random Forest, XGBoost, LightGBM)
- Neural networks
- Clustering and dimensionality reduction (e.g., LDA, PCA)
- Recommender systems (e.g., collaborative filtering)
- Experience with A/B testing, experimental design, and statistical inference.
- Ability to translate complex data into actionable insights for business stakeholders
Preferred Qualifications
- Master’s degree in a quantitative discipline (e.g., Data Science, Computer Science, Statistics or Engineering)
- Automotive experience
- 2+ years of experience working with large-scale customer datasets
- Experience with customer journey analytics, lifetime value modeling, or propensity scoring
- Familiarity with CRM systems and marketing analytics tools / data
- Strong communication and storytelling skills with the ability to influence decision-makers
- Experience working with real-time data pipelines and event-driven architectures
- Exposure to feature stores and model registries in MLOps environments
- Experience with Industrial Engineering and Supply Chain modeling / analytics
- Hands-on experience with big data and cloud platforms such as Databricks, Snowflake, Hadoop or Spark
- Understanding of CI/CD workflows for automating model testing and deployment
- Experience with Power BI or similar tools for data visualization and dashboarding
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. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.
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
Income Protection & Insurance Options
Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.
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
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.
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
