Senior Data Scientist - AI Infrastructure, Equity & Growth

Crusoe Energy Systems LLC; San Francisco (CA); On-site; USD 166,000 - 200,000; Full time

Benefits offered by this job

Industry competitive pay

Restricted Stock Units

Health insurance options

Employer contributions to HSA

Paid Parental Leave

Paid life insurance

Short-term and long-term disability

Teladoc

401(k) with a 100% match

Generous paid time off

Cell phone reimbursement

Tuition reimbursement

Subscription to the Calm app

Company paid commuter benefit

Job summary

A fast-growing technology company in San Francisco is seeking a Senior Data Scientist to join their central Data Science team. This role is crucial for developing forecasting models, performing root cause analysis, and analyzing cloud infrastructure products. Candidates should have analytical expertise, proficiency in SQL and Python, and familiarity with data visualization tools. A commitment to data quality and the ability to work autonomously are key. The position offers competitive pay, stock options, and various benefits.

Qualifications

• Deep familiarity with core analytical methods including Monte Carlo simulation and predictive analytics.
• Proficiency in SQL and Python for data analysis.
• Strong understanding of current data infrastructure architectures.
• Familiarity with data visualization tools to communicate insights effectively.
• Proven track record and passion for data quality.

Responsibilities

• Build and deploy models for financial forecasting and product analysis.
• Investigate operational incidents and predict failures.
• Conduct deep analysis of cloud infrastructure product usage and performance.
• Collaborate on initiatives to maintain high-quality data.

Skills

Analytical methods

SQL

Python

Data visualization tools

Data quality commitment

Education

Advanced degree in a quantitative field

Tools

Tableau

Power BI

Looker

AWS

GCP

Azure

Job description

A fast-growing technology company in San Francisco is seeking a Senior Data Scientist to join their central Data Science team. This role is crucial for developing forecasting models, performing root cause analysis, and analyzing cloud infrastructure products. Candidates should have analytical expertise, proficiency in SQL and Python, and familiarity with data visualization tools. A commitment to data quality and the ability to work autonomously are key. The position offers competitive pay, stock options, and various benefits.