Data Scientist (Solutions)

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.

**We are seeking a team member located within one of the following areas: USA/Canada

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.

• 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.

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 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.

Preferred Skills & Experience

• Experience with Google Suite products.

• Understanding of industrial control and automation systems.

• Experience with cloud services.

• Experience with AI and ML applications.

• Experience using scrum and agile methodologies.

Onboarding

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

General Interview Process

All of our interviews are held via Google Meet, and an active camera connection is required.

• 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)

Base Salary

• United States Residents: $100,000-$155,000/year

This position will also include equity.

These are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.