Data Scientists Modeling

Position Description

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.

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

Skills Required

• 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

Skills Preferred

• 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
• 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

Experience Required

• 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

Education Required

• M.S. in Data Science, Computer Science, Electrical Engineering, Applied math, Mechanical Engineering, Industrial Engineering, or related quantitative field

Education Preferred

• 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