Data Scientist for the Office of the General Counsel

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

In Global Data, Insight & Analytics (GDIA), we seek to navigate Ford Motor Company through the disruptiveness of the information age, harnessing the power of data and artificial intelligence to realize the enterprise’s known goals, reveal hidden opportunities, and achieve data superiority.

The Strategy & Enterprise Analytics team within GDI&A is seeking a Data Scientist to join our team to support the Office of General Counsel (OGC). The Data Scientist will improve and curate new and existing data sources to build business solutions for OGC’s Office of Compliance, Ethics, and Integrity. This key position will help bring data to life to solve business problems. We hope to optimize cost, productivity, improve quality, and minimize legal and regulatory risk. Solutions should be envisioned that harness internal and external data and through visualizations, predictive analytics, and prescriptive methods, providing the ability to enhance Compliance Office initiatives.

What you’ll be able to do:

• Supporting the development and delivery of analytic models using skills such as data acquisition and management, algorithm design, and model development & deployment
• Using large structured and unstructured dataset to find opportunities of process optimization and improve efficiency in varieties of processes and systems
• Formulating solutions using variety of data mining/transformation methods, creating algorithm and simulations to introduce and verify effectiveness of different courses of action
• Pulling and analyzing data including identifying trends and red flags; supporting management reporting and data visualization of investigation metrics
• Developing automated tools to collect Company information in support of conducting investigations
• Strategizing AI/ML possibilities for proactive potential compliance risk areas
• Acquiring deep understanding of the Compliance Office problems, defining problem scope from business requests, and translating business requirements to analytical projects
• Collaborating across teams, tracking project progress, and communicating between technical and business groups
• Collecting data and feedback from business users and implementing with technical teams
• Translating data-based insights into business actions and results
• Working effectively with a wide range of partners and functional teams
• Designing easy to understand visual interface for users to interact with the data
• Interpreting results and communicating to technical and non-technical audiences, cross-functional teams and executive leadership
• Supporting business units, legal practice groups, and technical teams to develop and implement strategy for long term information governance and data platform architecture/ integration
• Providing training and maintenance of implemented tools to partners

The minimum requirements we seek:

• Bachelor’s degree in quantitative field such as Statistics, Economics, Mathematics, Data Science, Operations Research, or related scientific field
• 1+ years of business analysis, big data analysis and visualization experience (including co-op, internships, extra-curricular activities)
• 1+ years of experience with one or more of the following analytics tools: SAS, R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, QlikView, Qlik Sense, Hadoop, or SAP OR equivalent tools (including co-op, internships, extra-curricular activities)
• 1+ years of experience collaborating with teams to develop analytics solutions (including co-op, internships, extra-curricular activities)

Our preferred requirements:

• Master’s degree in quantitative field such as Statistics, Economics, Mathematics, Data Science, Operations Research or related field. 
• 2+ years of experience with R, SQL, Tableau, Alteryx, MINITAB, CPLEX, Python, Any Logic, Qlikview, Qlik Sense, Hadoop, SAP
• 2+ years of professional experience in data mining, statistical analysis, modeling, optimization
• Experience working with legal and regulatory issues, corporate compliance, or risk management
• Comfortable working in an environment where problems are not always well-defined
• Inquisitive, proactive, and interested in learning new tools and techniques
• Strong oral, written and interpersonal communication skills
• Well-organized, independent and ready to work with minimal direction
• Have a desire to excel and work with hardworking people