Top Data Science Jobs in San Diego, CA

The Senior AI Data Scientist will lead the design and development of AI systems in finance, overseeing data reasoning, model behavior, and production quality.

Design and implement data science solutions: prepare and analyze datasets, develop and validate machine learning models, create visualizations, communicate findings to stakeholders, and apply cloud and operationalization best practices to deliver production-ready analytics.

As a data scientist, you'll analyze structured and unstructured data to develop predictive models and provide actionable insights for clients using machine learning and AI techniques.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist II will analyze customer data, build ML models, and communicate insights to support revenue growth and risk management for Socure's clients.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

As a Solutions Analytics Data Scientist, you will analyze partner data, demonstrate product value, and provide actionable insights regarding fraud patterns and performance evaluations.

The Lead Data Scientist will enhance analytics through predictive modeling and data engineering, focusing on quality, feature generation, and continuous learning.

Interns will gain practical experience with AI/ML projects, mentorship from senior data scientists, and contribute to impactful solutions for clients.

The Data Scientist will build machine learning models to enhance claim audits, optimize performance, and improve healthcare decision-making by analyzing complex data sets.

Lead data science initiatives, mentor junior scientists, and apply machine learning to influence enterprise decision-making and improve business outcomes.

As a Data Scientist, you'll analyze user behavior, conduct A/B tests, inform product strategy, and collaborate with cross-functional teams in the rental market.

The Data Scientist will design scalable data pipelines, develop core metrics, create dashboards, analyze experiments, and communicate insights to stakeholders.

The Data Scientist IV leads machine learning model development, performs data analysis for insights, collaborates on projects, and mentors junior team members.

As a Data Scientist for Growth, you'll support marketing and growth teams by analyzing data to inform strategies, conduct experiments, and measure performance, driving better decision making across the organization.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

As a Data Scientist in Customer Analytics, you will analyze customer data, measure Cresta's impact through experiments, and build dashboards for insights. You'll collaborate with cross-functional teams and support strategic customer initiatives.

Develop a tool to enhance signature management capabilities and integrate diverse data holdings, leveraging AI/ML solutions to meet operational needs.

The Data Scientist will develop tools for enhancing signature management capabilities, integrate diverse data holdings, and leverage AI/ML solutions for operational support.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Data Scientist, you will analyze data, create models, and build predictive tools to drive business decisions for Flock Safety.

Join as a Data Scientist II to develop AI systems for biomedical research, focusing on LLMs and computer vision, while collaborating with researchers.