Top Data & Analytics Jobs in San Francisco, CA
The Sr MH&P Analyst will collaborate with stakeholders to implement projects and improve distribution systems and processes. Responsibilities include gathering requirements, researching MHE technologies, supporting project management, creating documentation, providing system expertise, and assisting with training and troubleshooting.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
The Senior Data Engineer will develop a cloud-based data transformation and workflow solution for the U.S. Army. Responsibilities include managing data pipelines, data security governance, and delivering high-quality software. The role entails communicating design decisions to different audiences and requires extensive collaboration across teams to solve complex problems.
The Vice President of Data Science Research will lead the research organization focusing on innovative quantitative methods for liquid biopsy cancer screening, drive the research roadmap, and transition new concepts into product development while maintaining reproducible research standards.
As a Technical Product Manager at Stack Overflow, you'll lead initiatives within the Data Team, focusing on enhancing search performance through Machine Learning and Natural Language Processing. You'll work collaboratively with Data Scientists and Engineers to leverage unique data insights to improve developer experiences and product offerings.
This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.
As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.
The Forest Carbon Analyst will oversee carbon project development, conduct assessments, prepare documentation, perform statistical analyses, and manage data related to forest carbon projects. They will conduct fieldwork, manage stakeholder communications, and maintain project methodologies and monitoring activities.
The Operations & Analytics Manager at Aptos will develop strategic plans to optimize operations, manage resources, enhance ecosystem growth, conduct data analytics, and mitigate risks. This role involves collaborating closely with leadership and various departments within the organization.
The GCP Data Engineer will design and maintain large-scale data infrastructure, migrate data from Teradata to GCP, develop data pipelines, and optimize data processing for analytics and applications. Responsibilities include collaborating with teams, ensuring data quality, implementing security measures, and documenting processes.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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