Top Data Science Jobs in Los Angeles, CA

The Staff Data Scientist will lead projects to drive insights, define business metrics, advance experimentation, and collaborate with various teams to enhance user experience and product performance.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Staff Data Scientist, you will lead A/B testing, reporting, and analysis for the Financial Platform, focusing on optimizing payment systems and building data products.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The Staff Data Scientist will analyze large datasets, apply statistical modeling, design experiments, and collaborate with teams to enhance loan and payment products.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

As a Data Scientist Intern, you will analyze large datasets, develop machine learning models, conduct experiments, and present findings to improve user experience.

The Staff Data Scientist will analyze large datasets, design A/B experiments, develop metrics and facilitate decision-making to enhance loan and payment products within the Cash App.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

As a Senior Staff Data Scientist, you'll define data strategy, mentor team members, advance experimentation practices, and collaborate with various teams to enhance product and business metrics.

The role involves analyzing products, designing experiments, and developing key metrics to inform product decisions and improvements. It requires collaboration with various teams.

Looking for a Staff Data Scientist to support the Financial Platform team, focusing on A/B testing, reporting, analysis, and automation of financial services.

As an Applied Data Scientist, you'll ensure data quality, own the modeling lifecycle, and collaborate with teams to enhance data strategy.

As a Data Scientist, you will drive data-driven decisions, design and analyze A/B tests, and enhance user acquisition strategies by partnering with key teams.

The Senior Data Scientist will develop predictive models, analyze large datasets, and collaborate with teams to enhance machine learning services at Crunchyroll.

The Senior Data Scientist will evaluate monetization impacts, engage in product analytics, A/B testing, and partner with teams to drive data-informed strategies.

As a Staff Data Scientist, lead high-impact data science projects, mentor team members, and innovate using AI and machine learning. Collaborate across teams to enhance products and deliver insights.

Lead causal measurement and modeling for paid search marketing, integrating with ad platforms, and mentoring teams at StubHub to drive customer acquisition through innovative data science methods.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

The Data Scientist will develop end-to-end models with automated data pipelines, evaluate business opportunities, implement A/B tests, and enhance data infrastructure.

The Senior Data Scientist will support Block's AI, Data, and Analytics team, focusing on payment analytics, A/B testing, and strategic analysis to optimize financial services.

The role involves analyzing user behavior to prevent account sharing, developing predictive models, collaborating with teams, and ensuring data privacy compliance.

The Senior Data Scientist in Risk & Fraud will analyze data, build models to evaluate customer behavior, and develop metrics to drive business strategy.

The Senior Data Scientist will analyze large datasets, collaborate with cross-functional teams, and design experiments to enhance risk and fraud strategies.

Lead AI-driven insights and predictive analytics for enterprise business applications, focusing on optimizing processes like Quote-to-Cash and customer retention through data analysis and machine learning.