Data Scientist I

GumGum is an advertising technology company transforming advertising through its AI-driven data engine. The Data Scientist I role involves supporting statistical analyses and developing Machine Learning and AI solutions to enhance ad relevance and performance across various platforms. 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 and DL models Conduct exploratory data analysis to inform feature development and modeling approaches Build, run, and maintain regular pipelines to analyze production data, generate KPIs, and prepare automatic retraining of existing models Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms Train, evaluate, and iterate on traditional ML models and multimodal deep learning models under guidance from senior team members Design and maintain Looker dashboards and other Business Intelligence (BI) tools to track Key Performance Indicators (KPI) for key stakeholders Develop and deploy agentic pipelines and other LLM-powered applications, including prompt engineering, tool use, and evaluation of model outputs Contribute to existing Machine Learning Engineering (MLE) workflows for model training, deployment, and monitoring Document analyses, models, and broader learning to support knowledge sharing across the team and non-technical audiences Continuously expand on statistical and AI foundations while learning new AI/ML techniques, tools, and advertising-domain concepts Skills Bachelor's degree in a quantitative field (e.g., Statistics, CS, Math, Physics, or Economics) 1–2+ years in a data-driven role such as Analytics, Data Science, or ML Engineering Proficiency in Python and experience applying ML/DL methods using libraries like scikit-learn, PyTorch, HuggingFace, or OpenCV Dependable SQL skills and experience designing pipelines or DAGs using tools like Airflow or Astronomer Exposure to cloud environments (AWS/GCP, Databricks, Snowflake) and large-scale query tools like Spark or Snowpark Strong grasp of A/B testing, experimental design, and statistical concepts (regression, classification, optimization) Experience with LLM prompting and interest in frameworks like RAG, LangChain, or agentic systems Ability to design dashboards for diverse audiences and collaborate effectively with Product and Engineering teams Benefits Employer-matched 401(k) retirement plan Participation in a bonus, commission, or stock incentive program Company Overview GumGum is an Artificial Intelligence company that uses machine learning to extract value from digital content. It was founded in 2008, and is headquartered in Santa Monica, California, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship GumGum has a track record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 13 in 2024, 6 in 2023, 15 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.