Top Data & Analytics Jobs in San Francisco, CA
Lead the integration of human genetics data with phenotypic and omic data for target discovery in therapeutic areas. Collaborate with multidisciplinary teams and contribute to insitro's long-term therapeutic strategy. Apply cutting-edge machine learning and statistical genetics techniques to advance therapeutic programs.
The Senior Data Scientist builds scalable procedures for extracting valuable insights from diverse data sources. Responsibilities include producing algorithms and tools for data analysis, collaborating with teams and partners, and developing innovative solutions through exploratory data analysis and multi-touch attribution.
As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
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The Senior Analytics Engineer will design, develop, and maintain data infrastructure and analytical solutions. Key responsibilities include creating scalable data models, managing ETL processes, analyzing data for insights, optimizing performance, and implementing improvements based on emerging trends and technologies.
As a Data & Analytics Manager, you will work with post sales teams to translate business problems into analytics solutions, build dashboards and visualizations for customer success, apply data science techniques, and communicate insights non-technically. You'll also create prototype data applications to support customer engagement.
The Financial Data Analyst will manage budgeting, forecasting, and financial reporting, support strategic planning, analyze financial KPIs, and drive process improvements while collaborating with leaders across Finix.
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The Senior Manager of Data for Paid Placement will lead a team of data scientists, define data vision and strategy, prioritize projects, and enhance the effectiveness of data science models and algorithms to deliver significant business impact.
As a Staff Data Scientist at Aircall, you'll lead data-driven projects focusing on AI and machine learning to optimize operations and enhance business success. Your responsibilities include overseeing the entire model lifecycle, mentoring team members, collaborating with AI engineers, and communicating insights to stakeholders, all while fostering a culture of experimentation and maintaining high standards in data governance.
As a Data Engineering Manager, you will lead a team of data engineers to build and optimize the Ad EnGage data pipeline. This involves managing project workflows, addressing data engineering challenges, and collaborating across teams to define requirements and execute data-driven solutions.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
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