Senior Data Analyst, Data Analytics

Required

• 3+ years experience building and operating ML systems in production, including feature pipelines, the training data path, the serving layer, and the monitoring around them
• A track record of improving ML delivery workflows, and the ability to explain the trade-offs, results, and lessons from those decisions
• 8+ years of overall software engineering experience, including strong production skills in Python and SQL, experience building production systems in a JVM language, and 3+ years of experience building and maintaining ML platforms
• Sound reasoning about time in data: point-in-time correctness, label leakage, feature availability, and training/serving skew
• Experience setting a long-term technical direction and turning it into an achievable roadmap, delivering useful improvements along the way
• Experience leading initiatives from an ambiguous problem through scoping, stakeholder agreement, and delivery
• Experience establishing engineering standards, mentoring engineers, and helping teams adopt shared infrastructure
• Strong communication skills, with the ability to explain trade-offs clearly and find workable solutions across engineering, data science, risk, marketing, and finance
• Fluency with AI tools, including coding agents, in your own engineering work, with the judgment to evaluate their output and own the quality of what you ship
• Feature store, feature platform, or ML platform experience at a company where models make consequential decisions is a plus
• Experience in financial services, credit, fraud, or another regulated decisioning domain, and familiarity with model risk management, is a plus
• Experience with streaming and change data capture, large-scale batch on Apache Beam or Spark, or distributed training is a plus