Data Scientist, Phaidra

• Deep understanding of various statistical methods to analyze complex structured and unstructured data
• Experience developing and applying algorithms to answer complex business questions
• Experience manipulating large data sets using Python and tools like Pandas
• Experience using Google Colabs to manipulate and analyze data
• Experience in various industry-standard data visualization techniques
• Familiarity with markup languages like Xml, Json, or Yaml
• Passion for problem solving and using scalable solutions to solve repeat problems
• Experience with analyzing commercial and industrial chiller plants
• Good educational background in one or more related disciplines pertinent to your area of expertise. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields
• Excellent communication skills. Ability to explain complex domain specific concepts to non-domain experts
• Shares our company values: curiosity, transparency & directness, outcome-based performance, and customer empathy

Desirable

• As a Data Scientist working within the Solutions and Customer Success teams, you’ll play a critical role in creating tools and procedures for dealing with complex, structured and unstructured data sets using advanced statistical methods
• You will work closely with the Solutions Engineers in order to assist in the intake, cleanup, organization, and analysis of vast amounts of industrial sensor data from various manufacturing and engineering processes
• Constructing/designing tools and scripts for ingesting data with different formats, and formatting to Phaidra’s format for ingestion
• Clean and analyze data data according to data health rules
• Contribute to the development and automation of data analysis
• Assisting in creating different data visualization schemes and formats as required by internal and external customers
• Designing and overseeing experiments and/or pilot projects from a data analysis perspective
• Assisting in performance analysis, report generation, and customer presentations
• Analyzing data to perform model investigations and AI behavioral analysis
• In your first 30 days..
• You will have a solid understanding of what Phaidra does and how we do it
• You will have met with team members across Phaidra and started building relationships that will help you be successful at your job
• You will have become proficient at navigating the Customer Success team’s processes and software tools
• By your first 60 days..
• You will introduce yourself to our customers
• You will understand our customer onboarding process
• You will dig into Atlas, our project workflow tool
• You will format customer data for ingestion
• You will analyze AI performance on projects
• By your first 90 days..
• You will participate in troubleshooting issues
• You will participate in energy performance analysis
• You will contribute to data storage standards and methodologies
• You will create and refine business processes around data management
• You will attend site visits as permitted

• Initial screening interview with a People Operations team member (30 minutes)
• Meeting with the Hiring Manager (60 minutes)
• Meeting with Phaidra team member (30 minutes)
• Meeting with Technical Account Manager (30 minutes)
• Culture fit interview with Phaidra’s co-founders (30 minutes)