Data Scientist Hthd

2 weeks ago

Chennai, India Ford Motor Company Full time

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
- Ph.D. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field or 3+ years of industry experience in data science and analysis
- Connectivity vehicle, energy management, or EV charging domain experience
- 5+ years of experience, including both full-time work and research/academia experience, in programming languages such as Python, Scala, Java
- 5+ years of experience, including both full-time work and research/academia 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, Looker, Streamlit etc.)
- 5+ years of experience, including both full-time work and research/academia experience, in mathematical programming, data mining, statistical analysis, and/or machine learning
- 1+ year of Google Cloud Platform (GCP) experience, including certifications
- Experience in one or more of the following domains: NLP, forecasting algorithms, large scale optimization, and deep learning
- 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 full-time work and research/academia experience, in programming languages such as Python, R, Scala, Java
- 3+ years of experience, including both full-time 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 full-time 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 data-driven presentations

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