Top Data Science Jobs in Los Angeles, CA
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
The Data Scientist Analyst will analyze data to extract insights, build models, and create data visualizations to support decision-making across departments. They will perform exploratory data analysis, collaborate with business teams to gather requirements, and document analytical processes for effective communication of findings.
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.
The Staff Data Scientist is responsible for analyzing real-world data to generate insights and develop machine learning models for Abbott Diabetes Care. The role involves working with large datasets, conducting advanced statistical analyses, and collaborating with various teams to drive product development. The position also includes educating team members and contributing to departmental processes.
Facilitates the design and development of prototype continuous in-dwelling analytical sensors. Works closely with product development team to harmonize prototype designs with manufacturing requirements. Designs, fabricates, and tests in-dwelling continuous analytical sensors, primarily electrochemical. Analyzes in-vitro results and recommends strategies for improving sensor performance. Interfaces with clinical and regulatory resources for in-vivo testing of sensor prototypes. Provides technical assistance for diagnosing design and manufacturing quality problems. Guides development of test plan protocols, SOPs, specifications, and test procedures.
The Data Scientist role focuses on applying data science expertise to manage manufacturing data and build automated solutions, primarily using Python and SQL. The candidate will define data initiatives to optimize business processes, work independently on projects, and collaborate with cross-functional teams to drive insights and communicate findings to leadership.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
As a Senior Data Scientist at Oscar, you will develop models and conduct analyses to enhance business operations. Your role involves collaborating with cross-functional teams, maintaining data pipelines, and applying advanced analytics to support Oscar's strategic goals. You may also manage data scientists and interact with business counterparts.
The Senior Data Scientist leads the delivery of AI/ML solutions in healthcare, mentoring data scientists and overseeing key projects. Responsibilities include designing end-to-end AI/ML solutions, fostering professional growth in the team, and advocating for data-driven decision-making.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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