Senior Data Engineer (AI/ML Analytics)

Required Experience5+ years of elite-level experience in product analytics, growth analytics, or data science at fast-moving tech companies or high-growth startupsDemonstrated mastery of SQL (MySQL dialect) and Python for complex analysis and ETL workflowsProven track record of building instrumentation and analytics for self-serve SaaS or consumer products at scaleProduction experience with modern data stack (dbt, Airflow/Prefect, Looker/Mode, cloud data warehouses)History of driving significant business impact through data insights and experimentationExpert-level understanding of statistical methods, A/B testing, and causal inferenceProfessional English communication skills—both verbal and written Essential QualitiesExceptional problem-solving ability: You consistently find insights others miss and solve complex analytical challenges independentlyProduct intuition: You naturally think like a product leader and can translate business questions into analytical frameworksTechnical excellence: You write clean, maintainable code and build systems that other engineers admireIntellectual curiosity: You stay ahead of data trends and continuously expand your analytical toolkitHigh ownership: You take full responsibility for data quality and business impact, not just deliverablesLeadership mindset: You can influence without authority and drive consensus around data-driven decisions Nice to HaveData engineering background with end-to-end ETL ownershipExperience with LLMs, vector databases, or recommendation systemsBackground in mobile gaming, ad tech, or marketing analyticsAdvanced statistical methods (Bayesian analysis, sequential testing)Contributions to open-source data or ML tools Interview ProcessOur streamlined interview process consists of 3 rounds:Round 1: Initial Technical Screen (60 mins)SQL and analytical problem-solving exerciseTechnical background discussion with leadershipHigh-level experience and impact reviewRound 2: Take-Home Analysis Project (1 week)Real-world dataset related to our domainOpportunity to demonstrate your analytical excellence comprehensivelyRound 3: Project Review & System Design (90 mins)Deep dive into your analysis approach and insightsData architecture and scalability discussionAdvanced analytical challengeRound 4: Final Leadership Conversation (60 mins)Vision alignment with foundersCulture and team fit discussionTwo-way Q&A about growth opportunitiesWe aim to complete the entire process within 2-3 weeks.  Note: This role is designed for elite data talent. If you're not consistently recognized as among the most capable data professionals in your current organization, this position is likely not a good fit. We're looking for candidates who can demonstrate exceptional analytical abilities and deliver outsized business impact.