Top Senior Data Science Jobs in Los Angeles, CA

As a Senior Data Scientist, you'll develop metrics for system availability and reliability, collaborate with engineering teams, and analyze performance issues using data.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

The Data Scientist will build data solutions, analyze datasets, collaborate with engineers, and develop tools for data consumption at Juul Labs.

The Staff Data Scientist will lead the design and implementation of machine learning models, drive data-driven decision making, and mentor team members while ensuring high performance and reliability of ML systems.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

Drive technical innovation in promotional media measurement by building predictive models, executing experiments, and collaborating with cross-functional teams.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

The Lead BSA Data Scientist develops advanced models to enhance Bank Secrecy Act compliance and Anti-Money Laundering efforts, leveraging data analytics to detect fraud and improve risk assessment methodologies.

Lead the sales analytics function, transforming raw data into actionable insights, mentoring analysts, and developing dashboards in Tableau.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

Design and prototype intelligent systems for observability, lead reinforcement learning applications, collaborate with cross-disciplinary teams, and explore AI-driven paradigms.

Responsible for designing intelligent systems for observability, applying AI techniques, and collaborating with teams to enhance performance and observability depth.

The Staff Data Scientist will drive strategic initiatives in Reddit's ad ecosystem, develop advanced models, and collaborate across teams to optimize advertising efforts.

The Staff Data Scientist will advance claim audit models, enhance data pipelines, measure impact, and collaborate to ensure healthcare data aligns with business needs.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Senior Data Scientist will analyze monetization strategies, evaluate feature impacts, and design A/B tests, collaborating with multiple teams to drive product decisions.

Lead development of machine learning algorithms for ad platform optimization, analyzing datasets, deploying models, and collaborating with teams to improve KPIs.

Develop and implement fraud detection models using machine learning techniques, analyze data for patterns, and optimize existing models for risk management.

Develop and implement fraud detection models using machine learning. Collaborate with teams and analyze data to enhance fraud prevention strategies.

The Senior Staff Data Scientist will lead AI/ML initiatives, developing algorithms for business insights, collaborating across functions, and implementing advanced methodologies in forecasting and optimization.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.