Top Data Science Jobs in Miami, FL

As a Customer Data Scientist at Amplitude, you will leverage deep experimentation expertise and applied statistics to assist client companies in developing effective experimentation programs, influencing product strategy while collaborating with various teams.

The Data Scientist supports customer use of the Epistemix platform through data integration, modeling, and visualization, improving decision-making and customer satisfaction.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Data Scientist III, you'll build customer identity systems, develop recommendation models, predictive analytics for customer behavior, and collaborate with ML Ops and Data Engineering.

The Data Scientist II will analyze data, create actionable insights, develop algorithms, and support the go-to-market team to drive revenue while educating customers on the value of Socure's products.

The Data Scientist II role involves developing scalable analysis frameworks, building monitoring systems, enhancing data pipelines, and facilitating model improvements for customer success while collaborating across teams.

Embedded on a core business team, you will define problems, build metrics, run analyses and experiments, produce reports and insights, and drive data-informed decisions end-to-end. You will partner with product, growth, AI, and partnerships teams, communicate findings to leadership, and own outcomes from analysis through execution.

Embedded senior data scientist owning analytics for a business unit: define problems, design metrics, build analyses and experiments, surface insights, make recommendations, and drive implementation to improve key business metrics.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.

The Data Scientist designs and builds data structures for AI applications, manages vector and feature stores, leads data discovery, and collaborates on responsible data use while ensuring high-quality, governed datasets for ML models and applications.

Lead analytical efforts in Real World Data research, develop specifications and methodologies, manage projects, and communicate findings to stakeholders.

The Senior Data Scientist will enhance a revenue management system, utilizing ML/AI for improvements, supporting global teams, and solving complex issues with data.

Lead the fraud data science team, developing machine learning models for fraud detection, conducting deep analyses, and collaborating with stakeholders to enhance the platform’s security.

As a Staff Data Scientist, you'll design and optimize ML systems for claims handling automation, collaborating with product and engineering teams.

This role involves leading data science projects, designing technical solutions, implementing machine learning methodologies, and developing data workflows for cybersecurity applications.

The Data Scientist II will develop machine learning algorithms, architect data solutions, and support cybersecurity initiatives by analyzing complex data sets.

As a Senior Data Scientist, you will design and deploy machine learning and graph algorithms to enhance identity trust solutions, own end-to-end projects, and collaborate with product and engineering teams to improve KYC and compliance products.

Lead the design and deployment of machine learning and graph-based systems for international identity verification, ensuring compliance and addressing regional challenges.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

The Data Scientist II will drive insights, develop models, and analyze product experiments to inform business decisions and improve member experiences in healthcare.

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

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.

The Data Scientist II will design, build, and deploy machine learning models and data products, translating business problems into data-driven solutions, while collaborating with various stakeholders and ensuring reliable, production-ready outcomes.