Top Data Science Jobs in Los Angeles, CA

Seeking a Data Scientist to build data solutions using deep learning and statistical tools, collaborating with product teams and clients to extract insights from marketing data.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The role involves designing and interpreting experiments, leading cross-functional teams, mentoring data scientists, and analyzing data using statistical methods to inform product development.

As a Staff Data Scientist, you will design and optimize advanced machine learning models for fraud detection and risk management, lead initiatives, mentor peers, and collaborate across teams.

The Sr. Football Data Scientist will build, deploy, and refine analytical models for football insights, managing large datasets and collaborating with teams for high-quality analytics solutions.

Seeking a skilled Data Scientist/Machine Learning Engineer to develop machine learning models, design AI systems, and collaborate in data analytics. Responsibilities include productionizing models, data engineering, and cross-functional collaboration.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

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 role involves analyzing large datasets with SQL and Python, designing experiments, visualizing data, and influencing product strategies to drive business growth.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

The Data Scientist will analyze datasets, develop machine learning models, and collaborate cross-functionally to provide insights and innovative solutions.

As a Senior Product Data Scientist, you'll analyze customer behavior, optimize user retention and marketplace efficiency, and drive product strategy through data insights and SQL querying.

As a Senior Data Scientist, you will drive improvements in recommendations through collaboration with teams, strengthen algorithms, lead experimentation, and mentor others in analytics.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The role involves establishing expertise in payment rails, influencing product roadmaps, building data products, and partnering with leadership to drive data-driven financial impact.

As a Data Scientist II, you'll design and implement deep learning models for fraud detection and risk management, collaborating across teams to achieve project success. You will handle diverse data types and participate in all machine learning lifecycle stages.

Lead advanced data science efforts for identity graph modeling. Collaborate across teams to enhance system performance and data quality, focusing on scalable identity solutions.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Data Scientist will develop statistical and machine learning models, analyze datasets, design experiments, and collaborate with stakeholders to deliver insights and decision-support tools, often in AWS environments.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

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.