Top Data Science Jobs in San Luis Obispo, CA

The Senior Data Scientist in Ad Sales at Cash App will analyze large datasets, employ statistical techniques for insights, design A/B tests, work on data logging with engineers, create metrics for strategy, and develop data visualizations and dashboards to communicate findings effectively.

As a Data Scientist at RunPod, you will develop predictive models, optimize user retention, and generate revenue forecasts. Collaborating with cross-functional teams, you will translate data insights into actionable business strategies.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a Senior Manager at Arity, you will lead R&D teams in developing machine learning models for driver behavior detection. Your role will involve collaborating with product and engineering teams, managing diverse teams of data scientists, and executing communication strategies to ensure successful project outcomes.

The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.

The Strategic Data Science Lead drives data-driven initiatives and strategic planning through data collection, analysis, model development, and stakeholder engagement. This role includes developing AI/ML models, conducting feasibility analyses, and collaborating with cross-functional teams to align on strategic objectives.

The Director of Data Science & Analytics will lead initiatives to leverage data analytics for business growth, manage reporting and analytics teams, develop strategies using advanced techniques like machine learning, and ensure compliance with data regulations. This role requires an in-depth understanding of the Amazon ecosystem and involves fostering data-driven decision-making across the organization.