Top Data Science Jobs in San Diego, CA
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.
.png)
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.
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.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
See All
.png)
.jpeg)
All Filters
No Results
No Results
