Top Remote Senior Level Data Science Jobs in Los Angeles, CA
Lead data scientist role at GoodRx involving data science projects, mentorship, and building forecasting systems to affect prices for customers and partners.
Play a major part in building next generation Large Language Models for Enterprise Language Generation at ServiceNow. Confront real-world challenges using AI/ML expertise to develop scalable solutions. Collaborate with a team to produce quality software and high-impact solutions for users.
Use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development for Food & Beverage sellers at Square.
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Join Square as a Senior Data Scientist in Payment Risk to improve risk controls, prevent fraud, and impact key success metrics through statistical and analytical techniques. Lead experiments, develop data pipelines, and collaborate with cross-functional teams to drive data-driven solutions.
Seeking a Director of Data Science to lead a team in partnering with marketing, sales, and product teams to drive business growth and launch high-impact initiatives. Responsibilities include driving high-quality data practices, developing predictive models, analyzing marketing trends, and building scalable data foundations. This strategic role will involve shaping the future of the business through data-driven insights and leadership.
Develop and deploy AI models using advanced data science techniques for various applications. Collaborate with stakeholders to drive business growth and communicate findings effectively. Evaluate and implement state-of-the-art AI projects.
The Data Scientist role at PwC entails collecting domain context, defining hypothesis and prediction tasks, conducting experiments with various algorithms, creating models for predictions, and communicating insights with stakeholders. The role also involves developing expertise in technology, advising stakeholders, and navigating global teams and engagements.
Designs, develops, and programs methods, processes, and systems to analyze and generate insights from big data sources. Works with product and service teams to identify questions and issues for data analysis. Develops software programs and algorithms to evaluate large datasets. Interprets and communicates insights and findings to managers.
Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.
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