In this position...
What you'll do...
- Acquire deep understanding of vehicle engineering problems and translate them into appropriate mathematical representations
- Work with large, complex data sets using tools such as SQL, BigQuery, and Python
- Develop and deliver business solutions using skills such as data acquisition, data engineering, programming, and visualization.
- Develop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and feature engineering
- Interpret modeling results and communicate them to technical and non-technical audiences, cross-functional teams and leadership
- Interact and work cross-functionally with a variety of hardware engineers, software engineers, and product designers
- Develop trust with stakeholders and peers by delivering results on time
- Ensure overall quality of the data & solutions throughout the development process
- Provide training and maintenance of implemented tools to business partners
- Collect feedback from business users and continuously improve analytic products
You'll have...
- Bachelor’s degree in Engineering, Statistics, Data Science, Computer Science or a related quantitative discipline
- 3 years of experience or other significant, independent project experience using Python, Google Cloud Services, and similar tools
- 3+ years of experience using Python, SQL or BigQuery for acquiring and transforming data
- 3+ years of experience with real-world data, data cleaning, data collection or other data wrangling challenges
- 1+ years of experience deploying Machine Learning Operations for internal or external use
- Experience with GCP or other cloud systems
- Comfortable working in an environment where problems are not always well-defined
- Well-organized, a self-starter, independent and ready to work with minimal supervision
- A respectful and committed teammate, willing to excel and work with talented people
- Inquisitive, proactive, and interested in learning new tools and techniques
- Proven quantitative modeling and statistical analysis skills
Even better, you may have...
- Masters or PhD in quantitative field, such as (but not limited to) Statistics, Computer Science, Engineering, Economics, Mathematics, Data Science, Operations Research or similar technical field
- Knowledge of cost modeling, product design (hardware), mechanical engineering or similar
- 5+ years of work experience with Python, SQL, and BigQuery
- 5+ years of work experience in data mining, statistical analysis, modeling, optimization, drift detection or similar machine learning operations
- Strong oral, written and interpersonal communication skills
- Ability to effectively advocate technical solutions to peer, management and business audiences
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, vision and prescription drug coverage
- Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
- Vehicle discount program for employees and family members and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
- Paid time off and the option to purchase additional vacation time.
This position is a salary grade 8.
For more information on salary and benefits, click here: