Senior Data Scientist, Research Engineer

Highlights

• Build forecasting models to drive strategic decisions for AI infrastructure.
• Investigate operational incidents and predict failures to boost reliability.
• Analyze cloud product usage to guide feature development and improvement.

What they offer

• Competitive compensation
• Restricted Stock Units
• Bonus
• Paid time off & paid holidays
• 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

Ideal candidate

Autonomous, quality-obsessed problem-solver who thrives on ambiguous, high-impact work. Excited to shape foundational analytics for sustainable AI infrastructure and move fast with urgency.

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 with strong understanding of data infrastructure architectures
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to communicate insights
• Proven track record and passion for data quality
• Ability to act autonomously to drive forward analytics projects as an early hire