Data Scientist (Solutions)

About Phaidra

Phaidra is building the future of industrial automation.

The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

• We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
• We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
• We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Portugal, and India.

**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**

Who You Are

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.

*This role will require meetings that are in North American time zones.  

Responsibilities

• 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.
• This role can be broken into several concrete areas of responsibility:
  • Constructing/designing tools and scripts for ingesting data with different formats, and formatting to Phaidra’s format for ingestion.
  • 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.

Key Qualifications

• 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 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.

Preferred Skills & Experience

• Experience with Google Suite products.
• Understanding of industrial control and automation systems.
• Experience with cloud services.
• Exper