Top Data Science Jobs in San Diego, CA
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
The Sr. Principal Data Scientist at Northrop Grumman is responsible for creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large datasets. This role requires strong statistical skills, familiarity with data science toolkits, and deep learning frameworks to provide insights for business challenges.
As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.
As a Senior Data Scientist at Entefy, you will influence the future of productivity through advanced analytics. Responsibilities include delivering insights from structured and unstructured datasets, leading other data scientists, and employing strong data visualization skills.
The Data Annotator role involves labeling and curating data to train AI models, including tasks such as identifying objects in images, tagging text, and generating educational content like multiple-choice questions. This position requires attention to detail and expertise in STEM fields, with a focus on ensuring high-quality data for accurate AI model performance.
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.
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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.
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.
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.
Top Companies in San Diego, CA Hiring Data + Analytics Roles
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