Applied Scientist, AdTech

Key responsibilities: Develop and implement models to match auto insurance shoppers with the most suitable carriers to maximize conversion rates Manage media buying models and analyze carrier conversion data to optimize bidding strategies and improve return on ad spend Collaborate with business stakeholders to frame problems, identify data needs, and oversee the end-to-end model lifecycle from development to deployment

Required qualifications: 5+ years of hands-on applied data science experience with measurable business impact Proven experience in developing models that drive paid media decisions, including spend and bidding strategies Strong understanding of neural network fundamentals and the ability to explain technical aspects of models Experience managing data challenges such as late labels, sparse features, and model drift Expertise in Python and SQL for data analysis and model development