Data Scientist

In Global Data, Insight & Analytics (GDI&A), we aspire 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 under Connected Vehicle & Enterprise Analytics organization in GDI&A leverages advanced analytics and domain expertise to deliver data analytics models, tools, and services to solve multiple business problems

We are seeking top-tier Data Scientist who has full-stack of skills in product lifecycle from analytic problem definition, through data gathering, analysis, model and algorithm development, reporting/visualization development, testing, and operational deployment.

• Acquire deep understanding of the business problems and translate them into appropriate business solutions
•  Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
• Drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development & refinement
• Work with business partners using a collaborative, agile approach to develop solutions rapidly that add value and are centered around the user experience.
• Act as full stack data scientist to develop mathematical, analytical, optimization and/or AI/ML models to support evidence-based decision making. Ensure overall quality of the data & solutions throughout the analytic development process and support deploying them as end-to-end products on Google Cloud Platform
•  Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences

• M.S. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field
• 2 to 4+ years of experience, including both full-time work and research/academia experience, in programming languages such as Python, R
• 1+ year of Google Cloud Platform (GCP) experience, with one or more of the following tools: Data Gathering skills/tools (e.g., BigQuery, SQL, Hadoop, Spark, etc.) and/or Visualization skills/tools (e.g., Qlik Sense, Looker, Streamlit etc.)
• Strong oral, written and interpersonal communication skills
• Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• Ability to drive results and handle multiple projects within a given timeframe
• Well-organized, independent, and ready to work with minimal supervision
• Inquisitive, proactive, and interested in learning new tools and techniques
• Comfortable working in a fast-paced and innovative environment where problems are not always well-defined
• Publications or presentations in recognized journals or conferences