Top Data Science Jobs in Los Angeles, CA
Responsible for managing U.S. and Canadian royalties, reconciling royalty income, analyzing data files, and providing support to the Royalty Processing Director. Requires experience in music administration and finance, advanced computer literacy, and understanding of royalty calculations.
As a Data Scientist at Flip Shop, you will analyze data and user-generated content to enhance the shopping experience, collaborate with various leaders to provide strategic insights, and develop data science solutions using machine learning. You'll also track performance through KPIs and dashboards, ensuring that initiatives drive growth and engagement.
As a Data Scientist at Gauntlet, you will conduct research to improve the safety and efficiency of DeFi protocols through data analysis and mechanism design. You will manage client engagements, produce public-facing research, and create visual dashboards to effectively communicate insights derived from complex datasets.
As an EDI Analyst, you will develop and implement secure file transfers in compliance with standards, collaborating with trading partners under the direction of the Supervisor, BI Integrations. Your role will support operational efficiency by ensuring effective data integration in a healthcare setting.
As a Finance Data Scientist at Genesys, you will utilize advanced machine learning and statistical techniques to drive data-driven decisions, optimize revenue streams, and improve operational efficiency. Your role includes developing and deploying models, collaborating with cross-functional teams, and ensuring model interpretation and performance evaluation to inform business strategy.
The Senior Administrative Assistant performs various administrative duties such as calendar management, travel booking, meeting coordination, document editing, and expense reporting. They also create presentations and maintain reports using Excel and SharePoint while supporting teams in Insights, Data Science, and Analytics at Nike.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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