Data Scientist

Job Description

Creating the future of mobility requires the highly intelligent use of data, metrics, and analytics. That’s where you can make an impact as part of our Global Data Insight & Analytics team. We are the trusted advisors that enable Ford to clearly see business conditions, customer needs, and the competitive landscape. With our support, key decision-makers 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 is looking for qualified people who can develop scalable solutions to complex real-world problems using AI, Machine Learning, Cloud, Advanced Analytics. 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, Customer Experience, Analytics, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

Responsibilities

• Build an in-depth understanding of the problem domain and available data sources
• Extract and Analyze data from GCP tables, data warehouse/data marts to discover insights, trends and patterns relevant to the business problem
• Support existing analytical products, LLM model and associated pipelines. Propose improvements to existing models or analyses when needed.
• AI first approach, artificial intelligence at the core of a business's operations, products, and strategy
• Closely collaborate with business partners, data engineers and product owner
• Build analytical solutions to drive business value ensuring data-driven decisions
• Communicate insights and results to business teams, senior leadership through presentations. Collaborate across teams as needed and share findings effectively to varied audiences.
• 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.
• Produce clear documentation for data sources, transformations, assumptions, analyses, models, and experiments.
• Work with business partners through problem formulation, data management, solutions development and operationalization
  
  
  

Technical Skills:

• Strong Proficiency in Python, Statistics, SQL, Visualization
• AI, LLM framework, Machine Learning frameworks
• Working knowledge in GCP cloud environment
• Nice to have: API Development, Familiarity with Agile development cycle
  
  
  

Functional Skills:

• Problem Formulation & Problem-Solving Skills
• Business Acumen
• Ownership mindset, Proactive learner, Strong bias for action
• Comfortable working in an environment where problems are not always well-defined
• Strong interpersonal skills with ability to communicate complex topics to business, leaders, peers in a simple and clear manner
  
  
  

Qualifications

• BE, B.Tech, M.S./Masters in data science, Statistics, Computer Science, Applied Mathematics or a related engineering discipline
• Minimum 3 years of hands-on experience in building end to end AI/ML based solutions for solving business problems
• Strong proficiency in Python, data science libraries ((e.g., Scikit-learn, XGBoost, TensorFlow/PyTorch basics), SQL
• Demonstrated technical skills in Data Wrangling, Data Visualization, Statistical Analysis, Programming, Machine Learning