Top Senior Data Science Jobs in Miami, FL

The role involves leading Data Science projects using AI and ML to develop analytics solutions, mentoring teams, and interfacing with stakeholders.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

The role involves maintaining, enhancing, and building applications for Credit Risk Review, ensuring accurate reporting, and data analysis from various systems.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

The Senior Data Scientist will lead modeling efforts, translate data into marketing strategies, collaborate with stakeholders, and develop advanced marketing models using machine learning.

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

The Senior Data Scientist will provide data-driven insights, build analytical models, and collaborate with stakeholders to enhance decision-making and operational efficiency.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The Staff Data Scientist leads revenue forecasting and reporting, develops and maintains models, and communicates insights to senior leadership.

The Staff Data Scientist will lead revenue forecasting efforts, develop models in Python, and communicate insights to senior leadership while mentoring other data scientists.

This role involves partnering with sales to design data-driven solutions, engaging with customers, and supporting pre-sales engagements.

As a Senior Data Scientist, you'll partner with marketing stakeholders to develop analytical models, generate insights, and improve business decision-making through data-driven recommendations.

The Senior Data Scientist will develop metrics for system availability and reliability, analyze performance, and collaborate across teams to enhance Netflix's infrastructure.

The Senior AI Data Scientist will develop AI solutions, conduct data analysis, and support marketing analytics in consumer lending.

The Senior Data Scientist will analyze customer data, define success metrics, lead technical teams, and develop data infrastructure to improve products at Webflow.

The Senior Data Scientist will analyze user behavior, design experiments, create segmentation strategies, and communicate findings to impact product optimization and business growth.

The Staff Data Scientist will optimize ads delivery, lead experimentation, mentor junior scientists, and communicate findings to stakeholders. They will work with product and engineering leaders to evolve strategy and improve tools for analyzing ads performance.

The Business Intelligence Engineering Manager will lead an analytics team, drive insights, manage operations, and optimize data models while collaborating across departments and ensuring data quality and governance.

Build and manage predictive modeling and risk frameworks for data-driven decision-making in a fast-paced SaaS environment. Directly operationalize models for real-time insights, collaborating across teams to enhance analytics with AI technologies.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

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.

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