Scientist Jobs

About The Position

Requirements

• Strong SQL and analytical data-modeling skills.
• Experience turning large, complex datasets into reliable analyses and reusable data products.
• Ability to reason carefully about metrics, cohorts, denominators, measurement changes, and uncertainty, and investigate whether an unexpected result reflects the business or the data.
• Experience building dashboards or recurring reporting used by business partners, and ability to explain the decisions they enabled.
• Sound business judgment and ability to independently scope an ambiguous problem, prioritize work, and deliver an end-to-end solution.
• Clear communication of technical findings and ability to work effectively with Finance, data scientists, engineers, and other business partners.
• Ability to use Python or a comparable analytical tool to investigate data and automate repetitive work.

Responsibilities

• Define and maintain trusted metrics and analytical datasets for revenue, usage, customer performance, compute consumption, and margin, with clear definitions and appropriate product, customer, and cohort detail.
• Build automated dashboards and recurring reporting to help Finance leaders and operating teams understand performance, spot changes, and prioritize investigation.
• Explain movements in business results and variances against expectations by examining underlying drivers, validating data quality, and distinguishing evidence from assumptions.
• Translate ambiguous questions about growth, retention, monetization, pricing, and resource efficiency into structured analyses and practical recommendations.
• Partner with forecasting specialists and Finance to provide reliable inputs, driver analyses, and scenario assumptions for forecasts and long-range plans.
• Work with Data Engineering to improve the quality and usability of underlying data, and develop reusable analytical models and workflows that reduce manual effort.
• Communicate findings clearly, align stakeholders on trade-offs, and follow through to understand whether the analysis or data product improved the decision.