Top Data Science Jobs in Los Angeles, CA
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.
As a Staff Software Engineer on the Marketing Data Science team, you will lead R&D for data science products, collaborate with engineering and product teams, support stakeholders, and educate colleagues on data science applications in marketing and advertising.
As a Staff Data Scientist in Marketing Data Science, you will lead R&D on data science products, collaborate with engineering and product teams, provide technical support to stakeholders, and educate others on data science applications in marketing and advertising.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Scientist will lead analytical development for AAV gene therapy and manage quality control activities including assay development, regulatory documentation, and cross-functional collaboration. They will mentor team members and drive continuous improvement initiatives while adhering to industry standards and regulations.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
The Staff Bioinformatics Scientist will develop algorithms and software solutions for genetic and epigenetic data analysis, applying machine learning and statistical methods to meet clinical application requirements. The role involves designing robust analytical workflows to automate studies in a product development environment.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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