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Top Remote Data & Analytics Jobs in San Francisco, CA
As the Head of Data at Philo, you will lead a team of Data Scientists, Engineers, and Analysts to support data-driven decision making across the company. You will ensure the accuracy and accessibility of data for various departments, oversee data science operations, and drive product insights and experiments to optimize user engagement and business outcomes.
The role involves engaging with clients to understand and solve complex analytical problems, translating these into actionable solutions, developing and deploying software, and collaborating with cross-functional teams while ensuring exceptional communication with non-technical stakeholders.
The Senior Database Administrator is responsible for managing database operations, providing technical leadership, collaborating with production teams, and ensuring performance tuning, high-availability strategies, and disaster recovery procedures.
Featured Jobs
As a Lead Data Analyst for Operations & Fulfillment at Hims & Hers, you will manage advanced analytics projects to enhance operational efficiency. Responsibilities include mentoring junior analysts, implementing scalable analytics processes, establishing KPIs, initiating strategic opportunities, and creating dashboards for executive insights.
As a Staff Analyst in Investor Analytics at Upstart, you will influence credit platform decisions, conduct in-depth analysis on credit data, build financial models, and mentor junior analysts. You'll collaborate with various teams to enhance investor confidence and decision-making regarding financial performance and credit metrics.
Join Tempus as a Senior Data Scientist to lead analyses of real-world healthcare data in collaboration with pharmaceutical partners. You'll interpret RWE study results, communicate findings, and enhance data quality through interdisciplinary collaboration. Ideal candidates will have experience in the healthcare sector, particularly oncology, and possess strong analytical skills.
As a Sr. Data Scientist at Cedar, you will leverage AI and data science to enhance healthcare affordability and accessibility. Responsibilities include developing AI-powered features, collaborating with engineering and product teams, and providing technical leadership on cross-functional projects to improve patient experiences.
The Senior Data Scientist will analyze and provide insights on supply chain operations and fulfillment, collaborating with various teams to enhance data-driven product decisions. Responsibilities include developing data products, constructing reports, troubleshooting operational issues and establishing best practices for data usage.
As a Machine Learning Engineer II at Affirm, you will develop and implement fraud detection models using machine learning techniques. Your role involves leveraging proprietary and third-party data, building ML infrastructure, scaling data pipelines, and collaborating with various teams to improve fraud risk management. You will impact Affirm’s financial performance by ensuring secure and trustworthy transactions for users.
The Staff Data Science Engineer at Instacart will engage in strategic development of data-driven solutions, focusing on intelligent systems, data collection, and distribution. The role involves building interfaces for data scientists and impacting multiple teams, while leading critical efforts with minimal oversight and collaborating across functions to innovate and grow the product.
Top remote Companies in San Francisco, CA Hiring Data + Analytics Roles
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