Top Data & Analytics Jobs in San Luis Obispo, CA
As a Data Specialist, you will bridge the areas between Mission and Engineering Teams by leveraging open-source intelligence (OSINT) to enhance data collection strategies, ensuring mission success for critical customers. Your role involves developing new data methods, assisting with time-sensitive projects, and improving operational strategies based on user needs.
The Data Analytics Partner will analyze People data to enhance strategies related to talent attraction and retention. Responsibilities include building relationships with stakeholders, gathering requirements, creating visualizations, ensuring data accuracy, and assessing the impact of people strategies on business outcomes.
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As a Staff Data Scientist on the Dashboard Analytics team, you will leverage data engineering, business intelligence, and machine learning to drive data-driven decision-making and optimize seller experiences. You will collaborate with cross-functional teams, define key metrics, and communicate insights to inform strategic initiatives.
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The Senior Machine Learning Engineer will design and implement ML pipelines to enhance identity verification, reduce inauthentic identities, and provide risk-based customer experiences. The role emphasizes mentorship, collaboration across teams, and the development of a robust ML platform for Cash App's extensive user base.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
The Senior Machine Learning Engineer will focus on utilizing machine learning technologies to develop risk-based solutions that enhance customer verification processes and reduce fraudulent identities. Responsibilities include designing ML pipelines, maintaining model platforms, and shaping long-term ML strategies while collaborating with various teams at Cash App.
The Senior Analytics Engineer will connect business needs with technical solutions by creating data marts, collaborating on analytical data models, championing coding standards, and building data pipelines to ensure high data quality. They will work closely with other engineers and business partners to promote data insights and a data-driven culture.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
The Associate Data Analyst will work with the Payer team to develop analytics, create dashboards to track business metrics, facilitate data transfers, and improve decision-making through data visualization and interpretation. The role requires collaboration with stakeholders to enhance reporting infrastructure and communicate insights effectively to both technical and non-technical audiences.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
Top Companies in San Luis Obispo, CA Hiring Data + Analytics Roles
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