Top Data & Analytics Jobs in San Francisco, CA
As a Senior Marketing Data Analyst at Sendbird, you will drive data-driven decision-making by establishing key metrics, analyzing historical data, and reporting on performance. You'll collaborate with stakeholders, create dashboards, and implement data best practices to enhance business outcomes in a B2B Saas environment.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
The Senior Data Analyst will leverage data to drive strategic decision-making and contribute to organizational success. Responsibilities include collaborating with various teams, performing data analysis, developing dashboards and visualizations, monitoring product performance, and promoting a data-informed culture within the company.
.png)
As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.
As a Senior Associate in Clinical Data Sciences, you will oversee clinical data management for trials, ensuring data integrity and compliance. Responsibilities include database design, data review, query management, and collaboration with clinical teams for effective data handling and reporting.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
In this role, you will lead a team of data scientists to develop and deliver analytics solutions, mentor junior staff, ensure client engagements deliver value, and drive business development for the data science practice. You will also collaborate across disciplines to enhance data capabilities and engage with clients to develop innovative solutions.
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
You will lead growth data science efforts to enhance user growth, collaborate with marketing and product teams, analyze customer behavior, design experiments, and create reporting dashboards to track marketing effectiveness.
Notion is seeking a Data Scientist for their product data science team. The role involves transforming data into evidence to direct product decisions, working closely with engineering teams, and impacting the development of Notion through various data-related tasks. Key responsibilities include applying statistical inference, defining problems and opportunities, designing experiments, and partnering with product, engineering, and marketing teams.
.png)
All Filters
No Results
No Results
