Job Description
This role involves understanding business needs and analyzing data to create data-driven solutions. The candidate will design and implement data analysis and machine learning models to support decision-making. They will also apply various analytical techniques to uncover patterns and trends in data, while ensuring data accuracy and robustness. Finally, they are expected to stay updated on the latest advancements in data science and machine learning to improve analysis methods.
Key Roles and Responsibilities of Position:• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making• Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness
Minimum Qualifications
Preferred Qualifications
Ford Motor Company is an automobile manufacturer that creates and builds a wide range of cars. Ford Motor Company primarily sells SUVs, trucks, electrified, commercial, and future vehicles, as well as spare parts. Ford Motor Company also offers financing and leasing services to car owners.
