Data Scientist
Job description
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 enterprises known goals, reveal hidden opportunities, and achieve data superiority.
The Charging-Analytics-As-a-Service (CAAS) team under Strategy & Enterprise Analytics in GDI&A supports analytical solutions and insights across the enterprise in areas like Charging Data Services, Electric Vehicle Location Aggregator, Advanced Feature Engineering, BCCA, BEV Charging on the Go. The Data Scientist discovers and curates new and existing data sources to create insights for the business. This is an exciting opportunity to utilize the latest tools and methods in Statistics, Big Data, and Data Science to solve a variety of business problems.
The role spans the full project lifecycle from analytic problem definition, through data gathering, analysis, model development, reporting/visualization development, testing, and operational deployment.
Responsibilities:
- 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.
Job Requirements:
Basic Qualifications:
- Masters in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Information, or related quantitative field
- 4+ years of experience in programming languages such as Python, Scala, Java
- 3+ years of experience with one or more of the following tools: Data Gathering skills/tools (e.g., BigQuery, SQL, Hadoop, Spark, Teradata, etc.) and/or Visualization skills/tools (e.g., Qlik Sense, etc.)
- 3+ years of experience in mathematical programming, data mining, statistical analysis, and/or machine learning
- 1+ year of Google Cloud Platform (GCP) experience
- 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
Preferred Qualifications:
- Ph.D. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Information, or related quantitative field or 3+ years of industry experience in data science and analytics
- EV charging domain experience desirable
- 5+ years of experience in programming languages such as Python, Scala, Java,
- 5+ years of experience in mathematical programming, data mining, statistical analysis, and/or machine learning
- 2+ year of Google Cloud Platform (GCP) experience
- Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
- Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
- 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
Job Features
| Job Category | Data Science |