Top Data Science Jobs in San Diego, CA

As a Field Application Scientist, you will support sales and customers with technical expertise on products related to proteomics. Responsibilities include conducting demos, managing technical support, collaborating with internal teams, and ensuring instrument utilization. The role requires excellent communication skills and a background in life sciences.

The Senior Revenue Operations Analyst will focus on territory management and automation processes within the Revenue Operations team. Responsibilities include analyzing data to provide territory recommendations, systematizing territory assignments, and ensuring data hygiene across various teams. Collaboration with Customer Success and GTM teams is essential to enhance lead distribution and territory alignment.

The Senior Revenue Operations Analyst will shape and assign sales territories through data analysis and automation, collaborate cross-functionally, and monitor data accuracy. Responsibilities include improving internal processes, utilizing tools like Dunn & Bradstreet, and providing guidance to the GTM teams.

As a Senior Data Scientist at Discord, you'll collaborate with various teams to conduct deep analytics, build dashboards, track KPIs, and implement A/B testing to enhance user experience and support product development. You'll be responsible for translating complex data into actionable insights and engaging with both technical and non-technical stakeholders.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

As a Staff Data Scientist at Angi, you will lead the development of machine learning models for fraud detection, ensure seamless deployment and scalability of models, collaborate with cross-functional teams, foster innovation, and mentor junior members in advanced techniques.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.