Top Remote Data Science Jobs in Santa Cruz, CA

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Senior Data Scientist, you will design AI systems, develop machine learning models, and collaborate with teams to implement AI solutions for healthcare improvements.

Drive the development and deployment of data science products focused on causal inference from observational data, collaborating with teams and maintaining data science solutions.

As a Senior Data Scientist at Phantom, you'll analyze product data to drive strategic decisions, develop metrics, and collaborate with cross-functional teams to enhance user experience in the crypto ecosystem.

As a Senior Data Scientist, you'll design forecasting models, build data pipelines, analyze user behavior, and guide decision-making with data-driven strategies.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

Lead the forecasting team at Pinterest, focusing on model development for key metrics, driving strategic insights, and mentoring data scientists. Collaborate across departments to integrate forecasts into decision-making processes.

As a Staff Data Scientist in Performance Marketing, you will optimize marketing decisions using predictive modeling, budget allocation, and audience targeting strategies, contributing to growth and retention for Quince.

Develop AI tools using statistical modeling and establish pipelines for causal inference and predictive analytics to assist political campaigns.

The Product Data Scientist will develop data-driven solutions for enhancing player experience, analyze game telemetry, and innovate game analytics tooling.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

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 Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.

As a Senior Data Scientist, you will develop predictive models and algorithms to optimize marketing bidding strategies, enhancing growth and profit at Root.

Develop and tune ML models, productionize and deploy strategies for ML systems, and align cross-functionally to communicate performance metrics.

The Data Scientist will enhance Smart Signals accuracy using data science and ML techniques, collaborating with engineers and data scientists.

Lead and mentor data science teams to develop experimentation techniques for the ads business and drive data-driven decision making at Netflix.

Design and validate machine learning models for financial crime compliance, improve data pipelines, and analyze large datasets to mitigate risks in the crypto and fiat ecosystems.

The Senior Data Scientist will develop generative AI solutions, engineer ML workflows, analyze ServiceNow data, and collaborate on technical solutions, aiming to enhance business intelligence through data-driven insights.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

Lead marketing measurement models, analyze user acquisition performance, design experiments, and automate reporting. Collaborate across teams to align models with business goals.

As a Senior Data Scientist, you'll drive product strategy, analyze data for insights, collaborate across teams, and mentor junior staff.

Lead the data discipline for Wolf Games by designing a scalable data ecosystem that drives AI systems and enhances player experiences.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.