Data Scientist Hthd - Chennai, India - Ford Motor Company
Description
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 improve the EV customers' charging experience, support Ford strategic energy services, meet or exceed regulatory compliance via connected vehicle data, and enable what-if scenario analyses for global cycle plan planning.
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.
Job Requirements:
Basic Qualifications:
- M.S. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field
- 4+ years of experience, including both fulltime work and research/academia experience, in programming languages such as Python, R, Scala, Java
- 3+ years of experience, including both fulltime work and research/academia 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.)
- 3+ years of experience, including both fulltime work and research/academia experience, in mathematical programming, data mining, statistical analysis, and/or machine learning
- Strong oral, written and interpersonal communication skills
- Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving datadriven presentations
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 evidencebased decision making. Ensure overall quality of the data & solutions throughout the analytic development process and support deploying them as endtoend products on Google Cloud Platform
- Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences
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