Data Scientist, Analytics
About The Position
Crusoe is hiring a Data Scientist for its central Data Science and Engineering team. This full-time role will own the data and analytics function for key parts of the business, beginning with the Data Center Infrastructure Group (DIG), which builds and operates data centers across real estate, energy, construction, and parts lifecycle management. The role may also partner with other teams across the company as needs arise. The Data Scientist will work directly with business stakeholders to translate their needs into analytical work and own the reporting and data quality leaders rely on for high-stakes decisions. The work includes building operational reporting and dashboards, translating business requirements into technical specifications, integrating data from enterprise systems, tracking complex construction projects, supporting master data management, and investigating and resolving data quality issues. The data stack includes Google Cloud Platform, Google Cloud Storage, BigQuery, Apache Airflow, dbt, Sigma, and Grafana.
Requirements
- Strong SQL skills; the role will query BigQuery daily.
- Comfort working with large, complex datasets across multiple source systems.
- Experience with a modern data stack such as BigQuery, dbt, Airflow, or equivalent tools.
- Experience building and maintaining dashboards and reports for operational use.
- Proven experience working directly with business partners to gather requirements and deliver data products.
- Ability to communicate business context and analytical work to non-technical stakeholders, and to work credibly with both business partners and engineers.
- A track record of taking ownership of data accuracy and investigating when numbers are incorrect.
Nice To Haves
- Background in construction, manufacturing, supply chain, or another operationally complex industry.
- Experience with ERP systems such as SAP, Oracle, Sage Intacct, or similar, and the data that flows from them.
- Familiarity with master data management and cross-system entity resolution.
- Experience in a fast-growing company where processes are still being built.
- Python for data analysis.
- Experience with AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot.
Responsibilities
- Build and maintain weekly and monthly reports and dashboards for operational decision-making, ensuring accuracy and timeliness.
- Work with leaders across construction, real estate, energy, procurement, and other functions to gather requirements and translate business questions into analytical deliverables.
- Partner with data engineering to identify and onboard third-party enterprise-system data into the data lake, define requirements, and validate data quality.
- Build and maintain tracking for construction project progress, cost burn-down, timelines, and financial performance.
- Translate business requirements into technical or techno-functional specifications for data engineers.
- Support master data management by helping ensure vendors, parts, projects, cost centers, and sites are consistent and accurate across systems.
- Identify data gaps and inconsistencies, investigate root causes, and work with data engineers to implement fixes.
Benefits
- Competitive compensation and equity packages.
- Restricted Stock Units.
- Paid time off, paid holidays, and leave of absence programs.
- Comprehensive health, dental, and vision insurance.
- Employer contributions to HSA account.
- Paid parental leave.
- Paid life insurance, short-term disability, and long-term disability.
- Professional development and tuition reimbursement.
- Mental health and wellness support.
- Commuter benefits for parking and transit.
- Cell phone stipend.
- 401(k) retirement plan with company match up to 4% of salary.
- Volunteer time off.
- Global travel insurance and emergency assistance.
- Daily meals allowance.
- Additional perks and programs specific to location.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
