Senior Data Scientist, Research Engineer

Crusoe is seeking a Senior Data Scientist, Research Engineer to join an early and pivotal hire on the central Data Science and Engineering team. This onsite role in Sunnyvale, CA focuses on delivering measurable impact across product analytics, operations, go-to-market strategies, and capacity planning through forecasting, analysis, and reliability modeling.

Role Focus

You will build models and lead analytical work that supports strategic decision-making. The work spans financial forecasting, product analysis, incident investigation, failure prediction, and reliability improvements, alongside analysis of how cloud infrastructure products are used and perform.

Responsibilities

• Develop and deploy models for financial forecasting and product analysis to support strategic decisions.
• Investigate operational incidents and predict failures, then implement solutions aimed at system reliability and operational efficiency.
• Perform deep analysis of cloud infrastructure product usage and performance to identify improvement opportunities and guide feature development.
• Partner with internal teams to maintain high-quality data and contribute to the scalable evolution of modern data infrastructure.

Requirements

• Deep familiarity with core analytical methods including Monte Carlo simulation, predictive analytics, and time series modeling.
• Proficiency in SQL and Python for data analysis, plus a strong understanding of current data infrastructure architectures.
• Experience using data visualization tools such as Tableau, Power BI, or Looker to communicate insights.
• A demonstrated track record and strong interest in data quality.
• As an early hire on the data science team, capability to operate autonomously to move analytics projects forward.

Technologies

• SQL, Python
• Tableau, Power BI, Looker
• Monte Carlo simulation, time series modeling, predictive analytics
• AWS, GCP, Azure

Bonus Points

• Advanced degree (Master’s or Ph.D.) in a quantitative field (for example, Data Science, Statistics, Computer Science) or equivalent experience.
• Experience building cloud infrastructure, such as AWS, GCP, or Azure.
• Experience working on a growing or early-stage data team and contributing to foundational development.

Compensation

Compensation is offered in the range of $166,000 - $200,000 per year plus bonus. Restricted Stock Units are included in all offers. Final compensation will be determined based on the applicant’s education, experience, knowledge, skills, and abilities, along with internal equity and alignment with market data.

Benefits

• Restricted Stock Units
• Competitive compensation
• Paid time off and paid holidays
• Comprehensive health, dental, and vision insurance
• Employer contributions to an 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 (parking and transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary
• Volunteer time off