Top Senior Data Science Jobs in San Diego, CA

The role involves managing AI/GenAI solution development, analyzing client needs, mentoring team members, and overseeing project execution.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

The role involves developing advanced predictive models, managing project timelines, collaborating with engineering teams, and ensuring model alignment with business needs.

The Data Scientist will develop and deploy scalable ML models utilizing NLP to enhance security solutions, collaborating with cross-functional teams.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

The Staff Data Scientist will build AI systems, lead model development and analysis, ensure quality of AI solutions, and collaborate effectively with teams.

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

The Data Scientist will perform research on DeFi protocols, manage client engagements, and create dashboards while analyzing complex datasets.

Responsible for analyzing crypto-related data, mentoring a data team, and collaborating on blockchain research to enhance Circle's products and security.

The Associate Director, Data Scientist will lead data analytics initiatives to enhance data interpretations, predictive modeling, and integrate nonclinical safety data while collaborating across various teams.

The Data Scientist V will develop AI solutions, predictive analytics, and lead data science projects to improve healthcare outcomes. Responsibilities include mentoring, collaboration with expert teams, and project delivery.

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 Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The Data Scientist will analyze data, develop models, collaborate across teams, and support strategic projects to drive insights and growth.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

Design and prototype intelligent systems for observability, lead reinforcement learning applications, collaborate with cross-disciplinary teams, and explore AI-driven paradigms.

Responsible for designing intelligent systems for observability, applying AI techniques, and collaborating with teams to enhance performance and observability depth.

Lead the development of predictive models, ensuring business alignment and project management within the ML Business Modeling team, collaborating with engineers and stakeholders.

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

Lead the sales analytics function, transforming raw data into actionable insights, mentoring analysts, and developing dashboards in Tableau.

The Machine Learning Engineer will develop and deploy models for anomaly detection, process unstructured marketing data, and implement monitoring systems while collaborating with analysts on detection criteria.