FAQs
What is the mission of the Global Data Insight & Analytics team at Ford?
The mission of the Global Data Insight & Analytics team at Ford is to drive evidence-based decision making by providing insights from data, enabling key decision-makers to see business conditions, customer needs, and the competitive landscape.
What qualifications are needed for the Data Scientist position?
A bachelor's or master’s degree in a quantitative domain such as Statistics, Computer Science, Mathematics, or Engineering, along with 2+ years of experience with SQL, Python, and analytical solutions in a production environment, and at least 1 year of experience in a Cloud environment (GCP, AWS, or Azure) is required.
What are the technical skills required for this job?
Required technical skills include strong skills in SQL, visualization tools (PowerBI/Qliksense), Python, advanced SQL knowledge, working knowledge in GCP (Big Query, Vertex AI, Dataform), and programming experience to develop machine learning models.
Is experience with Gen AI or LLM necessary for this position?
No, experience with Gen AI or LLM is not necessary, but it is considered a nice-to-have.
What kinds of business problems are Data Scientists expected to solve?
Data Scientists are expected to understand and formulate business problems, convert them into data science problems, and develop analytical solutions, such as dashboards and machine learning models, that deliver actionable insights for business results.
How will the Data Scientist communicate results to the business teams?
The Data Scientist will communicate results to business teams through presentations, ensuring that insights are clearly articulated and understood.
What role does collaboration play in this position?
Collaboration is key in this position, as the Data Scientist will work closely with team members and business partners throughout problem formulation, data management, solutions development, and operationalization.
What types of analytical solutions will be designed and implemented?
The Data Scientist will design and implement scalable analytical solutions such as dashboards and AI/ML models in the Google Cloud environment.
What are the opportunities for career growth in this role?
With Ford's wide variety of opportunities in smart mobility and analytics, there is significant potential for career growth as the Data Scientist helps define the future of transportation through effective use of data.
Can you describe the importance of problem-solving skills for this role?
Problem-solving skills are crucial for the Data Scientist role as they are responsible for understanding complex business problems, analyzing data, and developing innovative solutions that drive business outcomes.

