Top Remote Data Science Jobs in San Diego, CA

As a Data Scientist - AI Engineer, you will apply machine learning and AI to analyze revenue data, forecast trends, and enhance sales strategies, directly influencing business decisions.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Data Scientist will analyze data for risk and trading in Daily Fantasy Sports, develop predictive models, and monitor real-time data.

Join a technology company to solve complex challenges in digital advertising measurement using data analysis, causal inference, and machine learning. Collaborate with clients and create insights from retail transaction data.

The role involves deploying data science solutions in cybersecurity, collaborating with customers and teams to operationalize models and enhance security insights.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

The Staff Data Scientist will develop and enhance marketing intelligence products, manage data science models, optimize algorithms, and collaborate across teams to translate technical methodologies into business solutions.

The role involves developing AI chatbots, organizing text data, testing virtual agents, and collaborating with customers to enhance user experiences in AI-driven solutions.

The Accounting Data Scientist will utilize advanced analytics and SQL to enhance financial management and audit readiness, transforming complex data into actionable insights.

Design, implement, and evaluate transformer and generative-AI based NLP systems for clinical text. Process and enrich medical datasets, mitigate model risks (bias, hallucination), run experiments, and deploy models into the cloud with ML engineering partners to ensure reliability and compliance in regulated healthcare environments.

The Lead ML Ops Data Scientist will design scalable MLOps systems, mentor data scientists, and develop models for rental matching and personalization.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.

Lead advanced data science efforts for entity resolution and graph evaluation. Collaborate on optimization, establish data quality metrics, and drive innovation in identity solutions.

The Data Scientist will develop data-driven solutions to measure and manage credit risk using machine learning methodologies, mentor junior scientists, and collaborate with stakeholders to inform decision-making.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

As a Data Scientist II, you'll design and implement advanced deep learning models for fraud detection and risk management while collaborating across teams and managing projects autonomously.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

Join the Core Data Science team to ensure statistical rigor in product development. Collaborate across teams to enhance data-driven decisions and contribute technically.

The Data Scientist role involves delivering analytics supporting drug discovery, developing reproducible workflows, and collaborating on research initiatives within Caris Life Sciences.

As a Staff Data Scientist, you will develop data-driven fraud prevention solutions using Generative AI, design scalable ML pipelines, and mentor junior data scientists while collaborating across teams to improve analytics and decision-making.

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

The Pricing Systems Lead will build the analytical foundation for pricing, design pricing experiments, connect pricing systems, and provide commercial insights to optimize the pricing strategy across Nivoda's platform.

As a Data Scientist, you will develop predictive models, analyze geoscientific data, and collaborate with geoscientists to improve mineral exploration efforts.