Matching Data jobs
- Senior Staff Data Engineer - Data & ML Platform $240k–$335kHinge HealthSan Francisco-HQ hybrid 4+ years exp Posted May 22Set data platform architecture and technical direction, build ML infrastructure, and drive reliability across teams.
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- Senior Manager, Data Science & Analytics - Global Marketing Services $154k–$247kVisa EuropeUS - San Francisco, CA hybrid 6+ years exp Posted Nov 3Prepare data for AI, develop predictive models, rank growth opportunities, and communicate actionable recommendations to business stakeholders.
- Data Center Site Negotiator, Acquisition and Development $150k–$217kGoogleSan Francisco, CA, US + 3 other locations on site 6+ years exp Posted Sep 10Negotiate and manage data center site development, land agreements, and infrastructure projects.
- Senior Data Scientist, Risk $156k–$195kTuroSan Francisco hybrid 4+ years exp Posted Oct 10Develop and monitor risk models and fraud mitigation strategies, guiding product decisions and ensuring marketplace safety and profitable growth.
- CX Data Analyst $112k–$168kHarveySan Francisco on site 3+ years exp Posted Jun 16Own support analytics, dashboards, and reporting to improve customer experience metrics
- Research Engineer, Data Infrastructure (Language Modeling) $200k–$350kCartesia*HQ - San Francisco, CA on site Posted Sep 25Build scalable data infrastructure for training large language models.
- Applied Data Scientist, Personalization & Machine Learning $347k–$445kOpenAISan Francisco remote Posted Oct 27Build and launch ML models and product interventions for personalization, recommendations, retention, and customer lifetime value.
- Data Scientist, Analytics $137k–$161kCrusoeSan Francisco, CA - US on site Posted Oct 27Own reporting, dashboards, data quality, and analytics for infrastructure projects while translating business needs into technical data requirements.
- Senior Data Scientist - Flex Pay $100k–$150kUpgradeSan Francisco hybrid 3+ years exp Posted Sep 30Build predictive risk models and simulators, optimize offers and pricing, and deliver data-driven insights for product and customer strategy.
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