Top Remote Data Science Jobs in San Francisco Bay Area, CA
As a Research Scientist at Upstart, you will focus on productionizing, deploying, and training machine learning models. You will collaborate with a team to build and maintain models that evaluate applicant risk in personal loans, contributing to the company's success through innovative approaches and solutions.
As a Senior Data Scientist at Pinterest, you will lead complex projects involving quantitative modeling and experimentation. You will work with cross-functional teams to analyze user behavior, improve user experience, and develop metrics that drive product evolution. Additionally, you will establish best practices for data analysis and experimentation, influencing product development decisions.
As a Sr. Data Scientist, you will analyze clinical data, develop pipelines, tools, and R packages. You'll ensure the manipulation of healthcare data into insightful analyses while collaborating with interdisciplinary teams and contributing to data product development.
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As a Senior Data Science Manager at Reddit, you will lead a team of data scientists to enhance advertising experiences and drive data-driven strategies, collaborating across Product, Engineering, and other teams. Responsibilities include end-to-end analytics projects, analyzing large datasets for insights, implementing A/B testing, and fostering a culture of innovation within the team.
The Senior Credit Analyst will build pricing models to foster growth and profitability in lending, work with cross-functional teams to develop pricing structures, track key KPIs, and optimize profitability through collaboration with Data Science. The role includes performing ad-hoc analyses to identify business and customer trends.
The Senior Data Scientist will collaborate with various teams to conduct full lifecycle data analytics, define KPIs, build dashboards, conduct A/B testing, and work on scalable instrumentation design at Discord, focusing on enhancing user experience.
The Senior Software Engineer will analyze metrics from our av-stack to provide insights, communicate with various teams to understand their analysis needs, design experiments, and improve metric formulations. This role requires strong coding skills and the ability to present complex findings clearly to non-experts.
The Quantitative Scientist will work closely with clinical data to solve complex real-world problems in healthcare. Responsibilities include data cleaning, modeling, inference, and interpretation to support commercial projects, leveraging real-world data across therapeutic areas like urology and ophthalmology.
As a Data Scientist II, you will design and implement ETL pipelines, prototype machine learning models, and communicate analyses to influence product recommendations and business decisions. You will extract and transform data from various sources for model training and support data-driven development.
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