Principal Data Scientist
Core
Design, build, and deploy end-to-end machine learning algorithms and identity resolution systems for Ford's data platform and data warehouse to enhance customer experience and vehicle intelligence.
Role type
Principal Data Scientist (Platform & Data Engineering)
Builds
Scalable data structures, cloud-native data services, and ML-driven monitoring tools for anomaly detection and data quality.
Domain
Automotive / Data Engineering & Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Machine Learning frameworks (Pyspark, BigQuery ML, Neo4j, etc.), Python development (Pandas, NumPy, Scikit-learn), SQL optimization, Generative AI (LLMs), Data pipeline optimization, Identity resolution algorithms, Docker orchestration, Statistical analysis, Predictive modeling.
Preferred skills
Experience with Graph ML libraries, NLTK, Matplotlib, Researching and integrating cutting-edge ML capabilities.
Technologies
Pyspark, BigQuery ML, Neo4j, NLTK, Matplotlib, Docker, BigQuery, Python, SQL.
Responsibilities
Design and implement ML-driven monitoring tools for anomaly detection and data cleansing; Lead R&D efforts to drive strategic development of data science capabilities; Partner with data engineers to design scalable data structures; Manage data ingestion and transformation into BigQuery; Mentor junior team members and translate business requirements into technical specifications.
Seniority
Principal, hands-on IC with strategic leadership
