Ford Global Data Insight and Analytics (GDI&A) is looking for a data scientist with an emphasis on Machine Learning and scalable computing. You will have the opportunity to work with some of the brightest global subject matter experts that are transforming the automobile industry. We are seeking a high-potential Machine Learning scientist to assist in all phases of project work, including problem formulation, model development, and deployment for use in support of Ford Smart Mobility and Autonomous Vehicle initiatives. The analyst needs to have strong self-discipline and have learning attitude to face different challenges in the fast changing mobility field. The job candidate should have great autonomy and self-discipline to conduct original research and choose appropriate methodologies to solve the world-class mobility problems. This position will involve the development and deployment of AI technology in areas such as autonomous vehicles, cybersecurity, customer interaction, manufacturing and connected vehicles. This person will be a member of a team that will apply AI/Machine Learning to help develop innovative solutions for these problems and build a strategy for future progress in this area.
The Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai and Shanghai – is a growing team committed to enable Ford to see our business, know our customers, and act in a meaningful way. We enable evidence based decision making by providing timely, actionable, and forward-looking insights to our Ford business partners. Together our team works to understand our changing world, identify new opportunities, and take action to design and innovate for the future of mobility – Ford’s vehicles and surrounding experiences.
Analyze source data and data flows, working with structured and unstructured data.
Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships and trends
Apply AI/Machine Learning technology to solve real-world problems
Analyze and visualize diverse sources of data, interpret results in the business context and report results clearly and concisely
Execute both descriptive and inferential ad hoc requests in a timely manner
Communicate and present models to business customers and executive
Work collaboratively with different business partners and be able to present result in a clear and concise manner
Teach and mentor others in the use of AI/Machine Learning
Bachelor’s degree in a field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
2+ years of experience of functional programming with Python, Scala or LISP
2+ years of experience with SQL, Spark, Hadoop
2+ years of experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, regression, classification and clustering
2+ years of experience with data sources and platforms (Unix/Linux, Teradata, Hadoop, Oracle, SQL Server and DB2)
Master's Degree or PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, Physics
Demonstrated ability in the application of Machine Learning/AI in real-world industrial settings with large scale data
Experience with Deep Learning tools such as TensorFlow and Caffe on NVidia DevBoxes
Experience with Agile software development
Experience with parallel/grid computing is a plus
Experience with contributing to open source projects is a plus
Strong oral and written skills
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team; discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.
Visa sponsorship may be available for this position.
Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.