Top Data & Analytics Jobs in San Francisco, CA

The Lead Data Scientist will work closely with product development teams to enhance the quality of healthcare outcomes through data-driven insights and predictive analytics. Responsibilities include preparing datasets, conducting analyses, building statistical models, and collaborating with multiple teams to implement effective solutions.

The Sr Data Analyst will analyze large-scale data sets to identify trends, metrics, and optimization opportunities. Responsibilities include data mapping, gathering requirements, resolving data quality issues, and providing analytical support across departments. The role also involves developing dashboards and reports, ensuring data accuracy, and collaborating with stakeholders and teams.

The Senior Product Data Analyst at Wistia is responsible for analyzing complex datasets using SQL and Python, creating data visualizations, and collaborating with product teams to provide insights that drive business decisions. The role involves defining product metrics, conducting A/B testing, and ensuring data integrity while communicating findings to both technical and non-technical stakeholders.

The Implementation Analyst at Monarch is responsible for designing and configuring a SaaS platform to meet client needs. This involves analyzing data, managing client relationships, providing guidance throughout the implementation process, and ensuring project timelines are met.

As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.

As a Staff Machine Learning Engineer, you will design and develop scalable ML platforms and services, define and maintain Machine Learning data pipelines, productionize models, optimize performance, automate workflows, and promote best software engineering practices. You'll collaborate with cross-functional teams to drive ML roadmap and architectural decisions while improving productivity through shared tools.

The Senior Data Scientist at tvScientific is responsible for transforming data into actionable insights, developing custom reporting tools, and leading analytics projects. This role involves writing production code in Python and serving as a technical mentor within the Data Science team.