Top Remote Data Science Jobs in Miami, FL

As a Senior Data Scientist at Discord, you'll collaborate with various teams to conduct deep analytics, build dashboards, track KPIs, and implement A/B testing to enhance user experience and support product development. You'll be responsible for translating complex data into actionable insights and engaging with both technical and non-technical stakeholders.

The EDI Implementation Analyst II at Availity is responsible for setting up, installing, and managing technical systems for clients, including data mapping and training. They test system functionalities and collaborate with product teams for improvements, focusing on moderate to complex implementations. The role includes managing relationships with payers and vendors and creating necessary documentation for integration objectives.

Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.

Responsible for developing tailored data science solutions, leveraging machine learning techniques to transform complex datasets into actionable insights, communicating findings, designing scalable models, and working cross-functionally with teams to integrate data science solutions.

As an AI Research Scientist at Phaidra, you will lead the design and implementation of novel algorithmic architecture for intelligent control systems in the industrial sector. This role involves applying expertise in reinforcement learning and deep learning, and collaborating across research fields to achieve groundbreaking results that enable industrial facilities to autonomously improve their operations.

As a Data Annotation Specialist at Fi, you will review and label video data, maintain organized records, and ensure data quality standards to support machine learning projects, all while working flexibly part-time.

The Data Scientist I role involves developing and monitoring quantitative models for credit and fraud analytics. Responsibilities include consolidating large datasets, performing predictive analytics, supporting machine learning models, advising on trends, and collaborating with teams to implement strategies.