Top Data Science Jobs in San Diego, CA
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.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
The Senior Data Scientist will develop and enhance machine learning products to improve DSG's offerings. They will analyze data to identify opportunities, apply advanced analytics techniques including recommender systems, and collaborate with stakeholders to translate findings into business strategies and insights.
The Senior Data Scientist will develop machine learning models to enhance products and services, conduct statistical analyses, and translate business inquiries into data science solutions. Responsibilities also include improving data-driven strategies and leveraging advanced analytics for business performance improvement.
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.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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