Data Scientist
Company: Sundayy
Location: Location not specified (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-23
About this role
About The Company
Ford Motor Company is a globally recognized leader in the automotive industry, renowned for its innovation, quality, and commitment to sustainability. With a rich history spanning over a century, Ford continues to push the boundaries of technology and design to deliver exceptional vehicles and mobility solutions. The company fosters a dynamic and inclusive work environment that encourages creativity, collaboration, and professional growth. Dedicated to shaping the future of transportation, Ford invests heavily in research and development to develop advanced manufacturing processes, electric vehicles, and smart mobility initiatives. As a forward-thinking organization, Ford values diversity, integrity, and excellence, striving to create a positive impact on communities worldwide.
About The Role
The Senior Data Scientist at Ford Motor Company will play a pivotal role in designing and implementing sophisticated systems that support cross-domain manufacturing analytics. Operating at the intersection of optimization, enterprise data integration, and applied analytics, this role is essential for enabling data-driven decision-making across complex business workflows. The successful candidate will develop and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks. They will also be responsible for integrating diverse enterprise datasets into structured, analysis-ready pipelines utilizing BigQuery, Google Cloud Storage, and Python. Additionally, the role involves performing data reconciliation, fuzzy matching, and standardization to ensure data quality and analytical integrity. The Senior Data Scientist will design and deploy lightweight internal applications, such as Dash-based tools, and contribute to containerized deployment processes to facilitate accessible decision models for business users. Collaboration with cross-functional stakeholders is critical to transl...