Senior Data Scientist
AngiFull Time
Senior (5 to 8 years)
Candidates must possess a Bachelor's degree (MS preferred) in Mathematics, Computer Science, or a highly quantitative STEM field, with 8+ years of experience in Data Science and ML roles. A solid foundation in statistics, machine learning, and causal inference is required, along with proficiency in Python/R, SQL, and experience with data platforms and statistical modeling libraries. Experience in a fast-paced company, driving projects from start to finish, a growth mindset, and comfort explaining technical concepts to non-technical audiences are also essential. Bonus skills include 2+ years in marketing attribution, MMM, experimentation, or related measurement challenges, experience developing and validating production models, and familiarity with MLOps practices and data pipeline orchestration tools.
The Staff Data Scientist will support new and existing data science-powered products, contributing to forecasting and experimentation capabilities to improve model accuracy and expand measurement coverage. This role involves explaining statistical concepts to customers, troubleshooting measurement issues, gathering feedback for product enhancement, and collaborating with engineering and product teams to translate customer needs into technical requirements. Additionally, the Staff Data Scientist will provide technical expertise and support for both non-technical internal and external stakeholders.
Marketing intelligence platform for advertisers
Northbeam is a marketing intelligence platform that helps businesses optimize their advertising budgets and improve performance, specifically targeting brands that spend over $250,000 monthly on ads. It combines Multi-Touch Attribution (MTA) to track customer interactions and Media Mix Modeling (MMM) to analyze the effectiveness of various marketing channels. Northbeam operates on a subscription-based model with custom pricing, offering personalized support to clients. The goal is to enable large-scale advertisers to make data-driven decisions and maximize the effectiveness of their marketing strategies.