Data Scientist

Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics. Thats where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisers that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decisionmakers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

Job Responsibilities

• Build an in-depth understanding of the problem domain and available data sources.
• Identify opportunities to build analytical solutions driving business value, leveraging various data sources.
• Extract and Analyse data from database/data warehouse to gain insights, discover trends and patterns.
• Communicate results to business teams through presentations.
• Design and implement scalable analytical solutions (Dashboards, statistical models, AI/ML models) in cloud environment.
• Train, test and operationalize models for business use cases integrates models with upstream and downstream business processes.
• Work with business partners through problem formulation, data management, solutions development, operationalization and solutions management

Technical Skills:

• Python, Statistics, SQL, Visualization, GCP (Preferred), Machine Learning frameworks
• Nice to have: API Development, Familiarity with Agile development cycle, Exposure to Gen AI/LLM

Functional Skills:

• Problem Formulation & Problem-Solving Skills
• Excellent Interpersonal skills
• Clear and coherent communication, both verbal and written
• Proactive learner

• Bachelors or masters degree in computer science, Statistics, Applied Mathematics, or a related engineering discipline (preferred)
• Minimum of 3 years of hands-on experience in solving business problems using data science/AI/ML
• Strong proficiency in Python programming and SQL
• Experience working with cloud technologies, preferably Google Cloud Platform (GCP)

Demonstrated expertise in statistics, machine learning.