Senior Data Scientist - Commercial Analytics

Stellantis Financial Services; Auburn Hills (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stellantis Financial Services is seeking a Data Scientist for the Commercial Analytics group to build and scale trusted data science products powering commercial recommendations. You will collaborate with data engineers, analysts, and business teams to design analytics solutions and evaluate model performance.

Ideal candidates are self-motivated and creative, with strong desire to solve real-world problems using data and to promote best practices in model quality and reliability.

Qualifications

• Bachelor’s degree in a quantitative field.
• Automotive experience.
• 5+ years in operations research, systems engineering, data science, or related field.
• Proficiency in Python and SQL.
• Hands-on experience with big data and cloud platforms (Databricks, Snowflake or Spark).
• Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines.
• Strong grasp of methods like regression, optimization, neural networks, and clustering.

Responsibilities

• Identify high-impact opportunities for statistical and machine learning use cases with stakeholders.
• Develop defensible, well-documented methodologies for strategic decision-making.
• Communicate complex results clearly to technical and non-technical audiences.
• Define and source data features with data engineers and drive data usage.
• Develop and validate models using regression, optimization, boosting, and neural nets.
• Visualize findings and tell data-driven stories to leadership.
• Maintain production models for scalability and performance.
• Conduct peer code reviews and promote best practices in modeling.
• Collaborate with external and internal resources to support KPI measurement.

Skills

Python

SQL

MLOps

Data visualization

Stakeholder communication

Education

Bachelor's degree

Tools

Databricks

Snowflake

Spark

Job description

Stellantis Financial Services is seeking a Data Scientist for the Commercial Analytics group to build and scale trusted data science products powering commercial recommendations. You will collaborate with data engineers, analysts, and business teams to design analytics solutions and evaluate model performance.

Ideal candidates are self-motivated and creative, with strong desire to solve real-world problems using data and to promote best practices in model quality and reliability.