Top Data Science Jobs in Los Angeles, CA

The Space Scientist position at Aerospace Corporation focuses on the ionosphere, thermosphere, and overall space environment. Responsibilities include conducting scientific research, engaging with space system communities, leading proposals for research funding, and collaborating with external organizations. This is a hybrid work model position with onsite work required in El Segundo, CA or Chantilly, VA.

As a Senior Data Scientist, you will analyze data to provide actionable insights for product decisions, communicate findings to cross-functional teams, collaborate with various stakeholders, and drive projects with minimal guidance. You will implement statistical models and machine learning techniques to optimize products and identify new opportunities.

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 Senior Data Scientist at Thumbtack, you will leverage data to drive business decisions by conducting quantitative research, designing experiments, and collaborating with cross-functional teams on product development. Your role involves scoping new features, monitoring key metrics, and contributing to data culture while mentoring team members.

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.

The Data Scientist will analyze and interpret complex supply chain data, develop predictive models, and collaborate with teams to optimize supply chains and drive business growth. Responsibilities include processing large datasets, applying statistical models and machine learning algorithms, and communicating data insights to stakeholders.