Top Data Science Jobs in San Francisco, CA
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.
As a Data Scientist, you will create models for predicting order clearances and optimize pricing through experimentation. Your role involves developing data pipelines, automation, and deploying machine learning services with tools like Python and SQL.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
As a Senior Product Analyst, you will provide actionable insights, conduct product analytics and advanced analytics projects to support ecommerce brands. Responsibilities include preparing data for modeling, applying statistical analysis, and collaborating with stakeholders to define business questions and metrics.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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