Top Data & Analytics Jobs in San Francisco, CA

The Senior Data Analyst at HopSkipDrive will partner with business stakeholders to solve challenges using data, create visualizations and dashboards, conduct statistical analyses, and build data sources for scalable analytics. They will also identify insights to improve revenue and reduce costs, contributing to the company's success.

The Senior Data Scientist will lead quantitative analyses to guide strategic business decisions for Thumbtack's Commercial Strategy team. Responsibilities include designing A/B tests, measuring project impacts, tracking KPIs, and collaborating with various teams to present insights. This role is crucial in shaping business strategy and ensuring data-driven decision-making.

The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.

The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.

The Sr. Workforce Management Analyst will oversee scheduling, resource allocation, and capacity planning for the Data Services department. Responsibilities include developing forecasting models, providing leadership reports, optimizing project timelines, and coordinating with various teams to analyze data and forecast demand.

As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.

The Data Analytics Partner will analyze People data to enhance strategies related to talent attraction and retention. Responsibilities include building relationships with stakeholders, gathering requirements, creating visualizations, ensuring data accuracy, and assessing the impact of people strategies on business outcomes.