Personetics

Data Scientist

• Frame problems, review prior art, and analyze available data to assess whether ideas are viable and worth pursuing
• Perform feature engineering and model design on behavioral financial data using gradient-boosted trees, deep learning, LLM pipelines, or agentic flows
• Lead preparation of model specifications, evaluation evidence, and risk documentation for production in a regulated environment
• Support models through production review
• Take solutions from proof of concept to live service with Engineering
• Integrate models and conduct controlled roll-outs against real customer behavior
• Monitor performance, drift, and business KPIs in production
• Continuously improve models based on production results
• Collaborate closely with Product and Engineering to move ideas from evidence through production