Top Data Science Jobs in Los Angeles, CA

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

As a Product Data Scientist, you will analyze user behavior, drive experimentation, build data tools, and collaborate across teams to influence product strategy and innovation at Whatnot.

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The role involves analyzing fraud and risk data, defining KPIs, collaborating on anti-fraud strategies, and creating tools and dashboards for data accessibility at Whatnot.

As a Data Scientist I, you will support ML development, conduct analyses, partner with teams, and contribute to MLOps workflows for ad performance.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

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 Data Scientist Intern, you'll analyze large datasets to enhance user experiences, develop ML models, and design A/B tests while collaborating across teams.

The Data Scientist I will develop and maintain data pipelines, analyze datasets, and collaborate with cross-functional teams to improve business decision-making.

As a Data Scientist II at Oscar, you'll drive data science projects, develop models, collaborate with cross-functional teams, and ensure quality outputs with minimal oversight.

As a Senior Data Scientist, you'll analyze complex data, develop predictive models, and aid decision-making for clients using advanced analytical tools.

Lead AI-driven insights and predictive analytics for enterprise business applications through data manipulation and visualization, enhancing revenue forecasting and automation.

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 will lead data science initiatives, collaborate with various teams, and drive business outcomes through data analysis and modeling.

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 Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

The Senior Data Scientist will analyze healthcare data to identify care gaps and segment key healthcare professionals, guiding strategic medical activities and mentoring other data scientists.

As a Data Scientist at Sleeper, you will analyze user behavior, build analytics systems, and develop risk insights to improve user experience and integrity on the platform.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

The Principal Bioinformatics Data Scientist will develop advanced computational methods and ML models for genomic analysis and lead innovation in bioinformatics, driving integration of large-scale genomic data.