Top Data Science Jobs in San Francisco, CA
As a Staff Data Scientist, you will drive user acquisition and monetization strategies by analyzing data related to user engagement, revenue metrics, and marketing budgets. You will collaborate with product teams to optimize user conversion and retention, and mentor other team members in data-related tasks.
The Data Science Manager will lead application development for Availity's products, focusing on statistical and machine learning solutions. Responsibilities include managing the data science development lifecycle, translating business requirements, analyzing technology trends, and coaching the analytics team.
As a Senior Data Scientist, you will analyze large datasets, design analysis pipelines, and collaborate with engineers to convert clinical needs into technical solutions. You will lead the development of machine learning models and present findings to various stakeholders, contributing to the delivery of impactful digital health solutions.
The Data Scientist, Product Development will enhance data quality and usability through the design of systems and tools, engage with cross-functional teams to define product requirements, and leverage statistical techniques to improve Verantos' real-world evidence platform.
Join Butter's ML team to optimize the recovery of failed payments by identifying an optimal sequence of retry attempts using novel techniques. Conduct model iterations and AB tests to enhance product performance. Requires 5+ years of data experience, strong statistics background, and knowledge of ML.
The Principal Scientist will manage and oversee non-clinical and clinical biomarker bioanalysis, including method development, validation, and interactions with specialty labs. Responsibilities include collaboration with cross-functional teams, maintaining quality assurance, and contributing to the development of novel therapeutics. This role requires a strong background in bioanalytics, laboratory management, and the drug discovery process.
As a Sr. Data Scientist at Houzz, you will collaborate across teams to define and launch data science initiatives, manage key business metrics, design experiments, and own project execution to provide actionable insights that drive product development and business direction.
As a Data Scientist specializing in Machine Learning, you will develop and implement machine learning and statistical models to enhance client business operations, collaborate with teams, research advancements in AI, and lead initiatives for data analytics capabilities.
The Data Scientist-I position involves analyzing large datasets to support business decisions in the pharmaceutical industry. Responsibilities include designing experiments, developing analytic models, collaborating with stakeholders, and translating business requirements into data models. The role requires creativity in problem-solving and effective communication of findings.
As a Data Scientist II, you will develop methods to consolidate and analyze large datasets to generate insights for management. You'll design statistical models, advise on emerging trends, and collaborate with teams to implement strategies effectively.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
