Top Data Science Jobs in San Francisco, CA
As a Data Scientist at Pinterest, you will utilize quantitative modeling and statistical methods to solve complex engineering challenges. Collaborating with cross-functional teams, you'll develop best practices for experimentation, build analysis pipelines, and provide crucial insights that influence product development.
As a Senior Data Scientist at Discord, you'll partner with teams to analyze and improve user experience through data analytics, A/B testing, and building dashboards. You'll define key metrics, communicate findings to diverse audiences, and collaborate with technical teams to design effective data solutions.
Hiring Basketball Data Scientists to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, model performance improvement, and collaboration with teams. Requires a Master's degree, expertise in Probability Theory and Machine Learning, and experience in SQL, Python, and AWS.
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As a Senior Revenue Analyst at Postman, you will analyze large datasets to identify trends, develop forecasting models, create dashboards, ensure data quality, and collaborate with cross-functional teams to enhance product improvements. You'll also provide mentorship to junior analysts and contribute to a data-driven culture.
The Data Scientist will collaborate with Go-to-Market teams, develop data models, perform impact analysis, and leverage data to optimize business initiatives at Figma. They will be responsible for data integrity and driving insights into strategic decision-making processes across teams.
The (Senior) Scientist in Biophysics at Lyterian Therapeutics will characterize proteins relevant to drug discovery using various biochemical and biophysical techniques. Responsibilities include designing assays, supporting collaborative projects, and contributing to intellectual property, while maintaining communication across scientific teams.
The Scientist II/Senior Scientist will oversee AAV purification processes, managing both internal and external CDMO operations. Responsibilities include optimizing large-scale purification techniques, mentoring junior staff, conducting process characterization, and ensuring compliance with regulatory standards. The role requires strategic thinking and problem-solving to enhance process development.
The Data Scientist Principle will work on building advanced AI platforms to enhance developer productivity by leveraging machine learning and deep learning techniques. Responsibilities include optimizing AI models, improving code quality, automating development workflows, and designing user-friendly interfaces to support developers.
A Staff Marketing Data Scientist role at Sony Interactive Entertainment in San Mateo, CA. Responsibilities include developing a KPI framework, determining optimal marketing budget and channel mix, designing test and learn frameworks, analyzing large datasets, leading a team of analysts, and collaborating with internal and external partners.
The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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