--- title: 'Senior Director, Analytics & Data Science at Crusoe' canonical: 'https://feeny.ai/job/senior-director-analytics-data-science-crusoe-san-francisco-abxctd2fme83' type: 'job' last_seen: '2026-10-16' --- # Senior Director, Analytics & Data Science at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-22 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/crusoe/a47eea20-0f86-4d60-ab86-4e4f9ad9abc7 ## Job description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: As Senior Director of Analytics & Data Science, you will play a key role in how Crusoe makes decisions. This is a new role leading a newly formed team of centralized analysts and data scientists who are embedded directly with the business units and domains they support. Your mandate spans cloud, customer experience, construction, power, manufacturing, and more. The analytics team owns the business logic, certified data models, and reporting that leadership relies on, and partners closely with our Data team, which owns and maintains the data platform and the ingestion of data from source systems. We are seeking a hands-on leader who is energized by building something from the ground up. The ideal candidate is deeply technical, credible with executives and operators alike, and drawn to complex, cross-functional problems. Reporting into the CFO/COO organization, you will define the operating model, hire and develop the team, set the standards to maintain consistent metrics across the company, and be a key partner to leadership in making faster, better-informed decisions. In the near term, much of the work is foundational — building the data models and definitions that rigorous analysis depends on. As that foundation matures, the team will take on more forecasting, experimentation, and predictive work. What You'll Be Working On: - Stand Up the Central Team: Work with leaders across the business to understand their analytical needs, and design the staffing and operating model that meets them. Define how analysts are deployed, how work is prioritized, and how the team engages with each domain. - Build and Develop the Team: Recruit and grow analysts and data scientists who pair technical depth with business credibility. Build the career path and development model to retain talent. - Set Standards for Analytical Rigor: Define how the team approaches statistical and modeling work, including experimental design, forecasting, and how uncertainty is communicated to decision-makers. Review your team's methods substantively, and work hands-on where needed. - Build the Data Science Capability: Determine where predictive and statistical methods will have the most impact and sequence the investment accordingly. Near-term opportunities span power utilization, capacity and demand forecasting, schedule and cost forecasting, fleet reliability, and product experimentation. - Own Certified Marts and Metric Definitions: Own the business logic, certified data marts, metric dictionary, and business-rule testing that keep metrics consistent across the company. Establish peer review as a standard practice so work is checked by qualified colleagues before it reaches business leaders. - Own Executive and Cross-Business Reporting: Own certified reporting for the executive team, the board, and questions that span business units, with operational reporting in the business units built on the marts your team certifies. - Drive High-Stakes Decision Support: Turn the company's most complex, cross-functional questions into clear analysis and recommendations that leadership can act on. - Build Toward Self-Service: Create the conditions for the business to answer routine questions without routing through an analyst, including the table and field descriptions our data MCP reasons over, on top of certified marts with properly defined metrics. - Maintain Close Proximity to the Business: Keep analysts embedded in their domains through staff meetings, planning cycles, and shared goals, and align central and business unit priorities so analysts always know what matters most. - Partner with the Data Team: Collaborate with the Data team on the data foundation, contributing the domain context and business definitions that help new source systems and data models land well for the business. What You'll Bring to the Team: - Analytics & Data Science Leadership: 15+ years in analytics or data science, with 5+ years leading teams that include data scientists as well as analysts and analytics engineers. You’ve hired for both disciplines and set technical standards across them. - Technical Depth: Fluency with SQL and Python, strong data modeling instincts, and hands-on experience with dbt or equivalent. You can build a certified data mart yourself and review your team’s models substantively. - Data Science Depth: Direct experience applying forecasting, experimental design, and statistical inference to business problems, including ownership of models in production. - Modern Data Stack Experience: Experience with a modern data stack (BigQuery, dbt, Airflow, or equivalents). - Governance Judgment: Experience defining and certifying metrics, testing business rules, resolving entities across systems, and holding the line on definitions when a stakeholder wants their own version of a number. - Business and Financial Acumen: Comfort with P&L mechanics, unit economics, capital projects, and returns analysis. You understand why you are building something, not just what, and you can connect an operational metric to a financial outcome. - Executive Communication: Credibility in a room with the CFO and business unit leaders. You can defend a number, explain a method to a non-technical audience, and disagree with a stakeholder without damaging the relationship. - Organizational Navigation: Proven ability to operate in a dotted-line structure with competing priorities, earn trust from leaders within the business units, and optimize for the whole company rather than any one team. - Ownership: Track record of being the go-to person for "is this number right?" You find problems before they surface in an executive meeting and you own the resolution. - Comfort Building from Scratch: You are energized by unpaved paths, incomplete data, and processes that do not exist yet. Bonus Points - Advanced degree (Master's or Ph.D.) in a quantitative field (e.g., Data Science, Statistics, Computer Science) or equivalent experience. - Experience in capital-intensive or operationally complex industries: energy, construction, manufacturing, supply chain, or data center development. - Familiarity with cloud or infrastructure business models, including ARR, utilization, and capacity planning economics. - Hands-on use of AI-assisted coding tools such as Claude Code, Cursor, or GitHub Copilot to accelerate analytical work. - Experience applying forecasting or optimization to physical operations, e.g., capacity planning, supply chain, energy, or fleet management. - Experience in a hypergrowth company where processes were still being built. - Experience enabling LLM or MCP-based self-service analytics on top of governed data models. Our Data Stack: - Cloud: Google Cloud Platform (GCP) - Data Lake: Google Cloud Storage (GCS) - Data Warehouse: BigQuery - Orchestration: Apache Airflow - Transformation: dbt (SQL-based) - BI Tools: Sigma (primary), Grafana (operational) Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location ## Compensation Range Compensation will be paid in the range of up to $310,000-$355,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. ## About Crusoe ## Company Overview - **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads. - **Entity Type**: Private (Series E) - **Headquarters**: Denver, Colorado, USA - **Founded**: 2018 - **Founders**: Chase Lochmiller and Cully Cavness ## Core Business - Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy - Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B) - **Mission**: "Accelerate the abundance of energy and intelligence." ## Products & Services - **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%. - **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management. - **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads. - **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers. - **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M). - **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers. - **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office. ## Competitive Advantages - **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy. - **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform. - **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure. - **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction). ## Strategic Focus - **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe. - **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure. - **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report. - **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack. ## Why Work Here - **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey). - **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader. - **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact. - **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel). - **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks. - **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process. ## Sources 1. [crusoe.ai](https://www.crusoe.ai/) 2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers) 3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture) 4. 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