Top Data Science Jobs in Los Angeles, CA
As a Senior Data Scientist, you will analyze data to provide actionable insights for product decisions, communicate findings to cross-functional teams, collaborate with various stakeholders, and drive projects with minimal guidance. You will implement statistical models and machine learning techniques to optimize products and identify new opportunities.
The AI & GenAI Data Scientist will leverage advanced analytics techniques to extract insights from large datasets and support AI and Generative AI solutions. Responsibilities include model development, requirements gathering, collaboration with clients, and managing data operations.
The Microelectronics Failure Analysis Scientist will perform research and analysis on microelectronic devices used in space systems. Responsibilities include technical support to national security space programs, conducting failure analysis using advanced techniques, and presenting research findings. The role demands expertise in physics of failure and hardware security.
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As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, analyze data trends, collaborate with clients, and mentor team members. Your role involves leveraging data to address business challenges and contribute to thought leadership through research.
The Senior Analyst - Revenue Operations will apply analytical skills to optimize business and revenue data, manage sales pipelines, generate insights, and enhance GTM efforts through process improvements and best practices. They will collaborate with various stakeholders to ensure data accuracy and drive the company's growth.
The Lead Data Scientist will drive innovation in advertising by applying data science and statistical analysis. Responsibilities include developing models, defining key metrics, delivering insights, analyzing A/B tests, and mentoring team members within a collaborative environment.
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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