Top Data & Analytics Jobs in San Francisco Bay Area, CA
Sr. Data Analyst role at Instacart supporting Fulfillment, Inventory, and Strategic teams. Responsibilities include delivering insights, ad hoc analyses, building business cases, analyzing data, and maximizing sales. Expertise in SQL, dashboarding, and statistical modeling required.
Senior Machine Learning Engineer role at Instacart focusing on utilizing machine learning to address critical issues in marketplace systems such as routing optimization, pricing, dispatch, and mapping. Responsible for designing, developing, and deploying ML solutions in collaboration with cross-functional teams to meet business goals.
Staff Machine Learning Engineer at Instacart responsible for designing, developing, and deploying machine learning solutions to tackle practical challenges in the marketplace. Collaborates with product managers, data scientists, and backend engineers to create impactful ML applications. Requires a graduate degree in AI, ML, or related field, strong Python programming skills, and analytical problem-solving abilities.
Seeking a seasoned analytics expert in lift measurement, attribution, advertising efficacy, and data analytics to join the Measurement Science Team in Media Analytics at Instacart. Responsibilities include setting up and monitoring advertising effectiveness studies, engaging in client conversations, proving the value of Instacart ads, and providing evidence-based insights to cross-functional teams.
Join Instacart as the Lead, People Analytics to shape the future of the team with data expertise. Develop analytics roadmap, collaborate with teams, and lead projects to drive business decisions using data insights.
As a Customer Experience Capacity Planning Analyst at Instacart, you will be responsible for analyzing workforce metrics, forecasting labor demands, managing outsourcer relationships, and improving workforce efficiency. This role involves gathering and analyzing historical data, developing statistical models, and communicating plans to stakeholders. The ideal candidate should have a Bachelor's degree in Business Administration or related field, solid experience in workforce management, and technical proficiency in workforce management software and Google Office Suite.
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