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Top Hybrid Data Science Jobs in San Francisco, CA
As a Senior Analyst in Marketing Science & Analytics at Square, you will enhance marketing measurement systems through attribution and media mix modeling. You'll collaborate with cross-functional teams to maintain key performance indicators, analyze marketing experiments, and improve data infrastructure, while ensuring the integrity of analytics insights for better decision-making.
In this role, you will lead projects within the Data & Analytics team, focusing on advanced analytics to support finance and strategy. Responsibilities include managing data from various sources, creating models, generating results, and ensuring data integrity while communicating effectively with stakeholders to inform strategic decisions.
As a Senior Analyst in Marketing Science & Analytics, you will enhance decision-making by improving marketing measurement systems and monitoring acquisition health. You'll collaborate with various teams to develop and maintain key performance indicators, analyze marketing experiments, and enhance data visualization dashboards while addressing stakeholders' analytics needs.
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As a Senior Applied Research Scientist, you will develop and implement AI solutions, particularly Large Language Models, collaborate with developers and product teams, and ensure high-quality software delivery while addressing real-world challenges using AI/ML techniques.
The Staff Scientist Biostatistics will lead biostatistical activities, develop study protocols and statistical analysis plans, support clinical and real-world evidence study reporting, and contribute to regulatory submissions and publications. This role requires collaboration with cross-functional teams and staying updated on statistical methodologies and industry developments.
The Data Scientist will lead growth analytics to drive user acquisition and marketing efficiency, employing statistical analysis and experimentation designs. Key tasks include customer journey analysis, attribution modeling, data reporting, and communicating insights to stakeholders.
As a Data Scientist II at Tinder, you will analyze user behavior data to inform strategic decisions, collaborate across various teams, conduct A/B testing, and refine recommendation algorithms to enhance user engagement.
The Lead Data Scientist will transform data into actionable insights to optimize marketing strategies, develop predictive models, and enhance customer acquisition and retention efforts. Responsibilities include collaborating with cross-functional teams, building experimentation frameworks, and delivering impactful data insights to stakeholders.
As a ML Research Scientist at Wispr, you will collaborate with neuroscientists and ML engineers to design algorithms that decode neural signals, setting benchmarks for ML research and experimenting with various deep learning architectures to enhance human-machine interactions.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
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