Machine Learning Engineer

We are looking for a Machine Learning Engineer / Data Scientist to develop advanced statistical models and simulations that drive Vehicle Configuration Optimization (VCO). This role will leverage curated datasets to build a customer-level preference simulation engine, enabling optimized vehicle order guides (VOGs) for future model years.This is a highly impactful role for an early-to-mid career data scientist who enjoys combining statistical rigor, large-scale data, and real-world business impact.Key Responsibilities:Build and run large-scale simulations (e.g., 50,000 synthetic customers) to model vehicle purchase behaviorDevelop statistical and machine learning models using DatabricksLeverage datasets including:Historical vehicle salesCompetitive sales dataFeature-level willingness-to-pay dataCustomer preference modelsTranslate model outputs into optimized Vehicle Order Guides (VOGs) that inform product configuration decisionsPerform exploratory data analysis and feature engineering on complex datasetsCollaborate closely with Data Engineering to refine and leverage curated datasetsCommunicate insights and model recommendations to business stakeholdersContinuously evaluate and improve model accuracy and assumptionsBasic Qualifications:Bachelors Degree RequiredMinimum 5 years of experience in data science, machine learning, or applied statisticsStrong experience with Databricks (critical requirement)Proficiency in Python (Pandas, NumPy, scikit-learn, PySpark)Strong SQL skillsSolid background in statistical modeling, simulation techniques, and experimental designExperience translating analytical results into business decisionsPreferred Qualifications:Experience with choice modeling, conjoint analysis, or demand modelingBackground in automotive, pricing, or product optimization analyticsExperience working with large-scale simulation frameworksFamiliarity with Spark and distributed computingExposure to MLOps or model productionizationBrand: FCA GroupJob ID: 2020000Employment Type: Full-timeJob Area: Sales and MarketingPosted Date: 22/07/2026