Top Data Science Jobs in San Diego, CA

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

The Senior Data Scientist designs and implements systems for manufacturing analytics, develops optimization models in Python, builds data pipelines, and collaborates with stakeholders to enhance decision-making frameworks.

The Data Scientist collaborates with stakeholders to develop machine learning applications, analyze data, and enhance team operations, improving processes with data-driven insights.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

As a Data Scientist, you will identify opportunities using data to shape product decisions, develop metrics, and influence strategic partnerships across teams.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Data Scientist II will develop statistical models and algorithms for insurance interventions, improving customer lifetime value and enhancing conversion/retention using machine learning techniques.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The Senior Data Scientist will develop models and analyses for risk and revenue decisions, collaborating with various teams to optimize funding for eCommerce.

Seeking a Senior Data Scientist with experience in machine learning and generative AI to design, build, and deploy models to improve healthcare outcomes. Responsibilities include developing analytics solutions, working with diverse healthcare data, and mentoring clients.

Design, develop, and deploy production machine learning models to improve decisioning for consumer lending. Partner with business and technical teams to develop data sources, improve modeling methodology, manage models in production, and mentor others while practicing strong software engineering and MLOps practices.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Senior Data Scientist will design and govern ontologies for Oncology R&D, translating business needs into semantic models and ensuring data interoperability.

The role involves owning the complete data science lifecycle from analysis to model deployment, focusing on logistics-related predictive models and collaborating with an ML Engineer.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.

The Data Scientist III will deliver high-value analytics projects, implement client solutions using ML and advanced statistics, and construct complex models for healthcare data.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

The Principal Data Scientist will develop data systems for Oncology R&D, design data pipelines, and work with cross-functional teams to translate business needs into data products.

The Principal Data Scientist will standardize linked biomedical and clinical data, focusing on graph-based models while collaborating across teams to create AI-Ready datasets for Oncology R&D.

Lead development and refinement of machine learning models for pricing and profitability. Collaborate with various teams, synthesize insights, and improve business outcomes while adhering to agile methodologies.

As a Senior Data Scientist, you will develop machine learning models, optimize deployment processes, and collaborate with cross-functional teams to enhance clinical AI workflows.

As a Full-Stack Data Scientist at Stitch Fix, you will develop customer-oriented solutions in recommendation systems and search engines, impacting business outcomes and collaborating with teams to innovate client-facing products.