Top Data Science Jobs in San Luis Obispo, CA

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Data Scientist will lead analytical workstreams, design clinical studies, develop scoring methodologies, build data pipelines, and collaborate with clinical teams to enhance surgical performance metrics.

The Senior Data Scientist will lead data science initiatives, develop predictive models, support pricing analytics, and mentor team members at Independence Pet Holdings.

The Applied Data Scientist will manage client engagements, unifying datasets, building models, deriving insights, and collaborating with teams to implement solutions.

The Data Scientist will develop and improve models and LLM systems for security applications, focusing on production readiness and experimentation. Responsibilities include building classifiers and evaluating models.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The Data Scientist I will analyze large datasets, build predictive models, conduct A/B testing, and communicate insights to stakeholders, enhancing business solutions.

As a Data Scientist, you will solve complex data problems using AI and machine learning, develop prototypes, and contribute to product strategy.

Lead the technical development and automation of enrollment forecasting models, collaborating with various departments to enhance decision-making and forecast accuracy.

The Data Scientist will support AI governance by developing data-driven solutions, applying machine learning techniques, collaborating across teams, and monitoring AI risks. Responsibilities include data exploration, model development, and stakeholder communication, ensuring efficient AI solution delivery.

As a Data Scientist, you will analyze blockchain data to derive insights, develop and deploy predictive models, and improve product offerings.

As a Staff Data Scientist, you will lead experimentation strategies, apply advanced causal inference techniques, and guide analytical insights to drive product and business decisions.

As a Senior Data Scientist, you'll optimize search relevance, retrieve content, analyze data, and collaborate with teams to enhance product strategies.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

As a Compliance Data Scientist Co-op, you will automate data processing, enhance Power BI reports, and utilize AI for compliance improvements.

As a Staff Data Scientist, you will create and integrate AI/ML models into performance management, conducting data analysis, statistical modeling, and collaborating with engineering teams for operationalization.

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

The role involves developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.

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 develop scalable machine learning pipelines, enhance data analysis processes, and present findings using advanced mathematics in a sports-related context.

The role involves owning marketing tests, analyzing performance and audience data, developing reports, and providing analytical support to enhance marketing strategies.

As a Senior Marketing Data Scientist, you will conduct quantitative analyses, manage marketing tests, and provide actionable insights to enhance marketing performance and investment effectiveness.

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

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.