FAQs
What is the main focus of the Global Data Insight & Analytics team at Ford?
The main focus is to enable evidence-based decision-making by providing insights from data, which supports key decision-makers in understanding business conditions, customer needs, and the competitive landscape.
What are the key responsibilities of a Data Scientist in this role?
Key responsibilities include collaborating with business partners to understand problems, exploring and wrangling data, developing dashboards, building machine learning algorithms, and delivering actionable insights.
What qualifications are necessary for this Data Scientist position?
Candidates should have at least 2 years of relevant work experience, a bachelor’s or master’s degree in a quantitative domain, proficiency in SQL and Python, experience in cloud environments, and familiarity with statistical analysis and machine learning techniques.
Is previous experience in cloud environments required for this role?
Yes, at least 1 year of experience working in a cloud environment like GCP, AWS, or Azure is required.
What technical skills are emphasized for this Data Scientist position?
Strong skills in SQL, visualization tools (PowerBI/Qliksense), Python, advanced SQL for large data handling, and experience in Google Cloud Platform (GCP) are emphasized. Exposure to Gen AI/LLM and Angular.js front-end development is a plus.
What functional skills are needed for this role?
Candidates should have strong problem-solving skills, the ability to understand and formulate business problem statements, be self-motivated, and possess excellent interpersonal, communication, and time management skills.
Will the Data Scientist be required to work closely with other teams?
Yes, the Data Scientist will collaborate with data engineers and work closely with business partners throughout problem formulation, data management, and solutions development.
What opportunities will the Data Scientist have to drive business value?
The Data Scientist will identify opportunities to build analytical solutions that leverage various data sources to drive business value.
Are there opportunities to present findings to business teams?
Yes, the Data Scientist will communicate results to business teams through effective presentations.
What type of analytics solutions will this role be involved in designing?
The Data Scientist will design and implement scalable analytical solutions, including dashboards in Qlik/PowerBI and machine learning models in the Google Cloud environment.

