Senior Data Scientist, Pricing & Demand Analytics

Stellantis; Auburn Hills (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Stellantis seeks a Data Scientist to build trusted analytics products powering marketing performance measurement. You will collaborate across teams, design econometric models for incentives, pricing and demand, and develop scalable predictive models with Python and big data tools. Strong storytelling and production readiness are essential.

You will also quantify impact, interpret elasticities, and help drive data-driven decisions for sales and margins across regions and brands.

Qualifications

• Bachelor's degree in Statistics, Economics or related quantitative field.
• 5+ years in data science, econometrics or related area.
• Proficiency in Python and SQL.
• Hands-on with big data and cloud platforms (Databricks, Snowflake, Spark).
• Experience with MLOps practices, versioning, monitoring, pipelines.
• Knowledge of regression, causal models and experimental design.
• Ability to translate complex data into actionable insights for business stakeholders.

Responsibilities

• Collaborate with stakeholders to identify high-impact analytics opportunities.
• Design and implement econometric and causal inference models for pricing and incentives.
• Estimate price elasticities across brands, segments and regions.
• Develop and validate predictive models using regression, forests, boosting and neural nets.
• Document methodologies and ensure model quality for executive review.
• Communicate results clearly to technical and non-technical audiences.
• Work with data engineers to source features and support model deployment.
• Maintain models in production ensuring scalability and performance.
• Support KPI measurement and cross-functional data initiatives.

Skills

Python

SQL

ML algorithms

Experiment design

Data storytelling

Statistical inference

Econometrics

CI/CD for models

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Databricks

Snowflake

Spark / PySpark

Power BI

Job description

Stellantis seeks a Data Scientist to build trusted analytics products powering marketing performance measurement. You will collaborate across teams, design econometric models for incentives, pricing and demand, and develop scalable predictive models with Python and big data tools. Strong storytelling and production readiness are essential.

You will also quantify impact, interpret elasticities, and help drive data-driven decisions for sales and margins across regions and brands.