Data Scientist

Data Scientist About TwinMindWe’re on a mission to make every human superintelligent. Our first product is a personalized "second brain"—an AI twin powered by everything you see and hear, that learns with you, remembers your entire life, and helps proactively before you even ask.Our co-founders are AI scientists who have built moonshots at Google X, deployed production systems with over $1 billion revenue impact on Wall Street, and contributed to a Nobel Prize-winning discovery.We have raised funding from some of Silicon Valley’s most influential venture capitalists, including the earliest investors in Facebook, Robinhood, and Zapier.We are seeking brilliant, ambitious minds who are passionate about pushing the limits of AI to make a dent in the universe. Role summaryThe Data Analytics Engineer owns TwinMind's data infrastructure and business reporting end to end. This role consolidates data from our cloud providers, product analytics, and subscription systems into a single verified warehouse, maintains the pipelines that keep it current, and produces the cost and performance reporting the company uses to make decisions. This is a hands-on individual contributor position with direct exposure to the founding team. Responsibilities: Data pipelines and infrastructureBuild and maintain pipelines that bring log and usage data from our cloud providers into BigQuery on a reliable daily cadenceConsolidate backend event data, product analytics, and subscription data into a single verified warehouse accessible to the wider teamMonitor pipeline health and resolve failures, schema changes, and data gapsData quality and reconciliationReconcile internal cost tracking against provider billing statementsMaintain accurate model and provider pricing tables, and establish a repeatable process for detecting pricing changesIdentify, investigate, and resolve discrepancies across data sources before they affect reportingReporting and analysisProduce daily dashboards covering spend, active users, and the drivers behind bothDeliver weekly revenue and cost reporting with breakdowns by category, including transcription, summarization, and computeTrack cost per active user and first-week cost per user, and surface opportunities to reduce bothProduct instrumentationEnsure event coverage across the full lifecycle of product features, including failed, timed-out, and incomplete statesBuild funnel and cohort reporting for activation, monetization, sharing, and cost metricsConfigure alerting for billing anomalies, unexpected plan changes, and integration failuresRequired qualificationsFive or more years of experience in analytics engineering, data engineering, or a comparable quantitative roleAdvanced SQL, including query optimization and complex analytical queriesHands-on experience with BigQuery or an equivalent cloud data warehouseDemonstrated experience building and maintaining production data pipelines, including schema drift, API rate limits, incremental syncs, and alertingExperience reconciling data across multiple systems and identifying discrepanciesAbility to communicate findings clearly to non-technical stakeholdersPreferred qualificationsAdvanced degree in statistics, data science, analytics, or a related quantitative fieldExperience with consumer subscription metrics, including trials, conversion, churn, and cohort retentionFamiliarity with Amplitude, Looker, RevenueCat, dbt, or AirflowExperience tracking inference or LLM spend at scale, including token-level cost attributionExperience at an early-stage company where analytics tooling had to be built from scratch TwinMind is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.