Top Hybrid Data Science Jobs in San Francisco Bay Area
As a Marketing Data Scientist at Cash App, you will optimize marketing efforts, analyze large datasets, and collaborate with cross-functional teams to drive business growth. Responsibilities include building models, designing A/B experiments, and influencing marketing strategies. Qualifications include a bachelor's or graduate degree in statistics or data science, proficiency in SQL and data visualization tools, and experience with scripting languages like Python or R.
Join Cash App's Support organization as a Senior Data Scientist to analyze large datasets, derive actionable insights, and drive meaningful change to enhance customer experience. Partner with support teams, conduct A/B experiments, build and report metrics, and communicate findings effectively. Requires bachelor's degree with 5+ years of experience or graduate degree with 2+ years of experience in statistics, data science, or STEM field.
The Security Governance Partner for Cash App Machine Learning and Data Science works with the teams that build machine learning pipelines and infrastructure, and data scientists to identify constraints and evaluate solutions. Responsibilities include acting as a security domain expert, collaborating across roles, automating governance functions, influencing technical architecture, and developing security standards and frameworks.
Build cloud-based AI/ML solutions for enterprise services, collaborate with a team, own code from design to delivery, expertise in Java, Python, AI/ML techniques, large language models, data preprocessing, and unit testing.
Build next generation Large Language Models for Enterprise Language Generation at ServiceNow. Apply AI/ML expertise to solve real-world challenges. Collaborate with a team to design, implement, and scale LLM's as a key offering in ServiceNow's portfolio.
Conduct comprehensive analyses of marketing campaign performance, design and execute experiments, develop predictive models, collaborate with cross-functional teams, and optimize user acquisition strategies through data-driven solutions.
Featured Jobs
GoodRx is looking for a Data Science Manager to join our data team. The ideal candidate is a team player with 5+ years of experience in data science, strong skills in Python, statistical analysis, predictive modeling, and machine learning. They should have prior experience managing data scientists and exposure to data-adjacent roles in engineering. A background in the healthcare/prescription drug space is a plus.
Lead team projects and conduct bioinformatics analyses to solve complex scientific problems. Provide technical leadership and collaborate across teams. Mentor junior members of the team.
The Data Science Manager will design, develop, and execute analytic techniques on large, complex data sets to help clients make better fact-based decisions. They will be responsible for driving business and strategy development through project delivery and client relationship management.
Senior Staff Software Engineer role focusing on building scalable machine learning systems and platforms at a next-generation financial services company. Responsibilities include architecting ML systems, collaborating with teams, designing software architecture, and contributing to a culture of innovation. Requires 6+ years of experience in technical field, proficiency in Python, Java, or C++, and experience with cloud platforms and scalable data processing.
.png)
Lead the AI strategy for various business challenges, become a Subject Matter Expert, architect and build innovative models and systems, collaborate with data scientists and engineers, stay at the forefront of AI landscape, engage with the data community, promote best practices, mentor and coach data scientists and engineers.
.png)
The Data Scientist will work with the Monetization team at Notion to accelerate self-serve revenue generation. Responsibilities include analyzing user interactions, defining problems, designing experiments, and collaborating with product, engineering, and marketing teams. Skills required include SQL, Python, R, statistical inference, data mining, and predictive modeling.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
.png)
All Filters
No Results
No Results
