Principal Data Scientist

OverviewRole: Principal Data ScientistLocation: Glendale, CA (Onsite) - 4 days a weekContractResponsibilitiesDevelop novel AI / ML solutions to further the company’s mission of creating innovative and engaging contentArchitect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetryDesign, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges.Identify trends, patterns, and insights from large datasets to inform decision-making.Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model resultsThink creatively to solve complex problemsMonitor and maintain the performance of ML modelsResearch and stay up-to-date on the latest AI / ML trends and technologiesProvide technical guidance and mentorship to other engineersCollaborate with data engineering teams to ensure the quality and accessibility of dataCommunicate insights and best practices in leadershipQualificationsMS / Ph.D. in quantitative discipline10+ years of experience in data science, with a proven track record of leading and delivering successful projectsProficiency in programming languages such as Python, R, or ScalaExpert-level experience working with scikit-learn, numpy, and pandas and other ML libraries.Solid understanding of ML technologies, models, mathematics and statistical methodsExperience with cloud databases, such as Snowflake, databricks, and BigQuery is a plus #J-18808-Ljbffr

Created: 2025-09-25