Data Scientist I at GumGum in Santa Monica, CA

Summary: GumGum is the contextual-first technology leader transforming digital advertising with AI-powered data and media solutions. The Data Scientist I supports the development and deployment of Machine Learning and AI solutions to improve the relevance and value of ads across various platforms, focusing on building and evaluating ML models and collaborating with cross-functional teams. Responsibilities: - Support the translation of business and product requirements into data-driven analyses and ML solutions - Partner with Engineering team members and senior Data Scientists to develop, test, and deploy ML models - Conduct exploratory data analysis to inform feature development and modeling approaches - Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms - Train, evaluate, and iterate on ML models under guidance from senior team members - Contribute to existing MLOps workflows for model training, deployment, and monitoring - Help define and track Key Performance Indicators in our Business Intelligence tools to measure model performance and downstream impact - Document analyses, models, and learnings to support knowledge sharing across the team - Continuously learn new ML techniques, tools, and advertising-domain concepts Required Qualifications: - Bachelor's degree in Statistics, Mathematics, Physics, Economics, Computer Science or a related quantitative or technical field - 1–2+ years in a data-driven role (Analytics, Data Science, or similar) -- WE ARE OPEN TO RECENT GRADS WITH INTERNSHIP EXPERIENCE - Experience applying ML and statistical methods to real-world datasets - Experience collaborating with Engineering and/or Product teams Preferred Qualifications: - exposure to production ML systems or MLOps tools (MLFlow, Weights & Biases, etc,) - familiarity with advertising, marketplaces, or large-scale decision systems Required Skills: Machine Learning, Statistical Analysis, SQL Important Skills: MLOps, Data Analysis Nice-to-Have Skills: Curiosity, Data-driven, Collaboration Benefits: 401(k) retirement plan, Participation in a bonus, commission, or stock incentive program