Top Analytics Jobs in Sacramento, CA

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.

As a Security Analyst at PNC, you will be responsible for conducting third-party security risk assessments, managing assessment processes, consulting on security policies, and improving third-party security assurance programs. Your role includes coordinating with suppliers and internal resources, conducting interviews, and providing technical evaluations.

As a Data Analytics Engineer, you will design and maintain scalable data pipelines, automate workflows, and develop predictive models while collaborating with cross-functional teams. You'll support data governance and work with various tools to enhance analytics and reporting capabilities.

As a Technical Support Analyst, you will provide technical support to institutional clients, addressing their issues related to the Chainlink platform. You will establish credibility with stakeholders, develop processes for efficiency, and create a customer support knowledge base.

The Senior Data Analyst will build data models and visualizations, develop insights on healthcare navigation and doctor rankings, and collaborate with stakeholders to deliver data-driven stories and reports.

The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.

The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.