Top Data Science Jobs in San Francisco, CA
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As a Principal Applied Scientist, you will develop advanced machine learning models for digital advertising, analyze large datasets for insights, collaborate with engineering teams, and mentor junior scientists while ensuring model performance aligns with changing market conditions.
The Research Scientist will lead projects focused on glaucoma and the complement system, managing external collaborations, optimizing therapeutic targets, and contributing to drug development. Responsibilities include project management, data presentation, and teamwork across functions.
The Senior Data Scientist at OneDigital is responsible for developing new models and tools for client projects related to health benefits strategies. They will work on data visualization, web application development, and providing R&D support for model enhancements. The role requires a Bachelor's/Master's degree in a relevant quantitative discipline and 4+ years of experience in data science or related fields.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.
As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.
As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.
The Senior Revenue Insights Analyst will drive business growth through data analysis and reporting. Responsibilities include understanding the data needs of the Customer Success organization, creating actionable dashboards, managing projects, and influencing strategic decisions based on business modeling and insights.
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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