Ford Motor Credit Company is seeking a highly motivated and experienced Data Scientist to join our team. As a Data Scientist, you will use your skills and knowledge to uncover new business insights using existing data sources. These key positions help bring data to life to solve business problems. At times, the problem is identified by a business unit, frequently wishing to optimize cost, revenue, or improve quality, and at times problems are formulated by the Data Scientists. Solutions are then envisioned that harness internal data and through visualizations, predictive analytics, and prescriptive methods, providing the ability for users to answer their key questions.
Basic Requirements
- Bachelor s degree in quantitative field such as Statistics, Economics, Mathematics, Data Science, Operations Research, or related field
- 1+ years of experience with one or more of the following analytics tools: R, SQL, Tableau, MINITAB, CPLEX, Python, Any Logic, QlikSense, or GCP OR equivalent college course experience
Preferred Qualifications
- Master s/PhD in quantitative field, such as Statistics, Economics, Mathematics, Data Science, Operations Research
- 3+ years of experience in data mining, statistical analysis, modeling, and optimization
- 3+ years of experience working with R, SQL, Tableau, MINITAB, CPLEX, Python, Any Logic, QlikSense, or GCP
- Experience with Google Cloud Platform and its various services such as BigQuery, Dataflow, and VertexAI
- Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders
- Comfortable working in an environment where problems are not always well-defined
- Experience within the automotive and/or financial services industry is a plus
Responsibilities :
- Using large datasets in Google BigQuery to find opportunities of process optimization and improve efficiency in varieties of processes and systems
- Formulating problems using variety of data mining/transformation methods, creating algorithm and simulations to introduce and verify effectiveness of different courses of action
- Acquiring deep understanding of the business problems, define problem scope from business requests, and translate business requirements to analytical projects Work with stakeholders to identify business problems and develop data-driven solutions
- Develop predictive models using statistical techniques and machine learning algorithms
- Collaborate with cross-functional teams to develop and deploy data-driven solutions
- Communicate findings and insights to stakeholders through visualization and storytelling techniques
- Stay up to date with the latest trends and technologies in data science and machine learning
