Data Scientist, Analytics

Join Crusoe as a Data Scientist, a dedicated hire on our central Data Science and Engineering team. This full-time position offers you the opportunity to own the data and analytics function for key parts of the business, starting with the Data Center Infrastructure Group (DIG) -- the arm of Crusoe that builds and operates data centers, spanning real estate, energy, construction, and parts lifecycle management. As part of a central team, you will also have the opportunity to partner with other groups across the company as needs arise.

You will partner directly with business stakeholders, translate their needs into analytical work, and own the reporting and data quality that leadership depends on for high-stakes decisions.

What You'll Be Working On:

• Own Reporting & Dashboards: Build and maintain the weekly and monthly reports and dashboards that business leaders rely on for operational decision-making. You are the DRI for accuracy and timeliness.
• Partner with Business Stakeholders: Work directly with leaders across construction, real estate, energy, procurement, and other functions to gather requirements and translate business questions into analytical deliverables.
• Drive New Data Integrations: Work with data engineering to identify and onboard data from third-party enterprise systems (ERP, procurement, asset management, etc.) into the data lake, defining requirements and validating data quality as new sources come online.
• Track Complex Projects: The infrastructure side of Crusoe runs large, multi-year construction projects with long lead times and many vendors. You will build and maintain tracking for project progress, cost burn-down, timelines, and financial performance.
• Translate Business to Technical: Take business requirements and produce technical or techno-functional specifications that data engineers can execute on. Bridge the gap between what the business needs and how the data platform delivers it.
• Support Master Data Management: As the company matures its MDM and ERP practices, you will help ensure master data (vendors, parts, projects, cost centers, sites) is consistent and accurate across systems.
• Champion Data Quality: Identify gaps and inconsistencies in data, investigate root causes, and work with data engineers to implement fixes. When a number is wrong, you own the resolution.

…