Top Hybrid Data & Analytics Jobs in San Francisco, CA
The Senior Analyst in Finance & Risk Analytics at Reddit will partner with finance teams to enhance strategic decision-making through data analysis. This role involves developing reporting solutions, creating dashboards, analyzing financial data, and translating insights into actionable recommendations.
As a Software Engineer at Twelve Labs, you'll develop data infrastructure for multimodal datasets, ensuring high-quality filtering and labeling for video-language model training. You'll scale systems for large models, mentor junior engineers, build libraries/services, manage vendor relationships, and lead projects from ideation to execution.
The Data Scientist II role at Tinder involves driving data-informed decision-making by conducting rigorous testing, developing experiments, and generating insights from extensive user behavior data. This position requires strong data analysis skills, creativity in problem-solving, and the ability to communicate findings effectively to influence business performance.
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As the first Data Engineer at Gantri, you will design and implement scalable data pipelines, develop data warehousing solutions, and mentor other team members. This role involves collaborating with various teams to integrate data into systems, ensuring data quality, and enabling advanced analytics capabilities.
The Lead Data Engineer will develop and optimize data infrastructure, build scalable ETL pipelines, manage data warehouses and lakehouses, ensure data quality, and collaborate with data science teams to support ML model deployment.
The Senior Compensation Analyst at Asana will work with leadership to develop globally competitive compensation programs based on data analysis. Responsibilities include conducting benchmarking evaluations, consulting on compensation strategies, and collaborating with various teams to support compensation administration and communication efforts.
As a Principal Machine Learning Engineer, you will lead a team to develop innovative deep learning vision algorithms for robotic grasping. Responsibilities include designing machine learning models, collaborating with engineers, and ensuring effective interaction between robots and their environment.
The Senior Data Scientist will leverage data science techniques to optimize the Kiddom platform, enhance personalized learning experiences, and contribute to AI research initiatives. This role requires collaboration with various stakeholders and a strong practical understanding of AI methodologies.
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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