Machine Learning Data Scientist - Product Analytics
Auto Req ID:
29643BR
Job Title:
Machine Learning Data Scientist - Product Analytics
Location:
Dearborn
State:
MI
Company:
Ford Motor Company
Job Description
Job Description/Overview:
The Global Data Insights and Analytics (GDI&A) Product Analytics team supports Ford’s Product Development organization with analytical solutions. We are looking for a data scientist with expertise in Machine and Statistical Learning. As a member of this dynamic team, you will have the opportunity to work with some of the brightest global subject matter experts in product development and vehicle connectivity who are transforming the automobile industry. We are seeking a Machine Learning scientist to assist in all phases of ongoing and future projects, including problem formulation, model development, and deployment for use in support of Ford Design, Product Development, and Connectivity initiatives. The job candidate should have great autonomy, exceptional collaboration skills, and self-discipline to conduct original research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with a strong technical mindset who demonstrate a passion for learning and applying state-of-the-art solutions to novel and challenging problems.
Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai, Europe, and China – is a growing team committed to enabling Ford to better understand 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 actions to design and innovate for the future of mobility – Ford’s vehicles and surrounding experiences.
Responsibilities:
Job Requirements:
Basic Qualifications:
Preferred Qualifications:
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.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not 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.
Job Description/Overview:
The Global Data Insights and Analytics (GDI&A) Product Analytics team supports Ford’s Product Development organization with analytical solutions. We are looking for a data scientist with expertise in Machine and Statistical Learning. As a member of this dynamic team, you will have the opportunity to work with some of the brightest global subject matter experts in product development and vehicle connectivity who are transforming the automobile industry. We are seeking a Machine Learning scientist to assist in all phases of ongoing and future projects, including problem formulation, model development, and deployment for use in support of Ford Design, Product Development, and Connectivity initiatives. The job candidate should have great autonomy, exceptional collaboration skills, and self-discipline to conduct original research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with a strong technical mindset who demonstrate a passion for learning and applying state-of-the-art solutions to novel and challenging problems.
Ford GDI&A – situated in greater Detroit, Palo Alto, Chennai, Europe, and China – is a growing team committed to enabling Ford to better understand 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 actions to design and innovate for the future of mobility – Ford’s vehicles and surrounding experiences.
Responsibilities:
- Analyze source data and data flows, working with both structured and unstructured data
- Manipulate high-volume, high-dimensional data from a variety of sources to identify value-generating patterns, anomalies, relationships, and trends
- Collaborate with Product Development experts to understand their requirements and overall business needs
- Develop and apply Machine Learning solutions to address real-world automotive and mobility challenges
- Communicate and present model insights to business customers and executives
- Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
- Explore emerging technologies and analytic solutions for use in quantitative model development
Job Requirements:
Basic Qualifications:
- Master’s degree in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, or Physics
- 2+ years of experience with Machine Learning methods and tools, including but not limited to: deep neural networks, linear and nonlinear regression, classification, tree-based models, and clustering
- 2+ years of experience in at least one of the following languages: Python, R, MATLAB, Java, C/C++/C#, SAS
Preferred Qualifications:
- PhD in a quantitative field such as Computer Science, Computer Engineering, Statistics, Economics, Mathematics, or Physics
- 2+ years of experience with SQL, Spark, OR Hadoop
- 1+ year of post-graduate work experience (in a business or post-doc setting) involving complex quantitative modeling and analysis in any of the areas mentioned under Basic Qualifications
- Demonstrated ability in the application of Machine Learning to real-world industrial settings with large scale data
- Experience with high-performance Deep Learning frameworks such as TensorFlow, PyTorch, Theano, Caffe, Caffe2, or MXNet
- Experience with version control systems such as Git
- Strong oral, written, and interpersonal communication skills and an ability to work in a collaborative team setting
- Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
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.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not 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.