Analytics Engineer - X
Core
Build and maintain robust data systems enabling high-impact quantitative analysis and business decision-making at global scale.
Role type
Senior IC Analytics Engineer
Builds
Production-grade data pipelines, quantitative models, statistical frameworks, and data infrastructure
Domain
AI/ML, Data Engineering, Quantitative Analysis
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, distributed computing (Spark, Flink, Hadoop), statistical methods, predictive modeling, experimental design, cloud data orchestration
Preferred skills
Real-time streaming systems, low-latency data processing, open-source contributions, cost optimization via data
Technologies
Spark, Kafka, Flink, Hadoop
Responsibilities
Design and optimize end-to-end data pipelines for high-volume datasets; Develop quantitative models and statistical frameworks for experimentation and forecasting; Build and maintain data infrastructure ensuring quality and accessibility; Collaborate with product and operations teams to translate requirements into data systems; Conduct A/B tests, causal analysis, and performance evaluations; Implement monitoring, alerting, and automation for real-time decision support; Mentor team members on scalable data engineering and quantitative problem-solving
Seniority
Senior, hands-on IC
