Top Data Science Jobs in Miami, FL

Analyze complex datasets, build predictive models, and communicate findings to stakeholders while collaborating with data engineers and quantitative researchers.

The role involves advanced analytics to drive product strategy, deep statistical analysis to uncover user behavior insights, A/B testing, building data pipelines, and presenting findings to leadership.

This role involves applying advanced data science and machine learning methods to healthcare data, leading teams, managing client relations, and developing analytics products for payers, while mentoring junior staff.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

As a Data Scientist, you'll analyze geospatial data to reveal patterns and relationships, designing workflows to support mission-driven operations for the NGA with a focus on clarity and actionable intelligence.

The Data Scientist will build analytics infrastructure, conduct analysis and modeling, and collaborate with teams to enhance data impact and insights. Responsibilities include exploratory analysis, model building, and maintaining datasets for student success and operational efficiency.

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.

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 at SentiLink, you will develop fraud detection models, conduct analyses, collaborate across teams, and drive the development of financial risk products.

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

As a Lead Data Scientist in Fraud, you will develop, deploy, and monitor machine learning models to detect and prevent fraud, while leading a team and collaborating across departments.

The Lead Data Scientist will oversee the development and implementation of machine learning models for fraud detection, driving strategy, mentoring junior staff, and conducting analyses to improve detection rates.

As a Lead Data Scientist, you will design, build, and deploy models to detect fraud, mentor junior scientists, and collaborate with teams to refine strategies.

The role involves conducting data analysis, developing analytics tools, leveraging AI/ML for business insights, and collaborating with stakeholders to enhance data usage across the organization.

The Data Scientist role involves transforming alternative data into insights, building and validating predictive models, and creating technical white papers, leveraging AI-native tools.

As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.

The Data Scientist will support intelligence operations by applying advanced analytics to complex datasets, develop models, and collaborate with teams to enhance mission delivery.

The Staff Data Scientist will design and optimize deep learning models for fraud detection, mentor peers, and lead data science initiatives.

As a Staff Data Scientist, you will lead product strategy by building predictive models, optimizing matching algorithms, and guiding product innovations in a consumer tech environment.

As an Applied Data Scientist, you'll develop features that optimize customer interactions, collaborating with various teams to create effective models and evaluate performance.

The Pricing Data Scientist will enhance pricing models through predictive analytics, support product development and regulatory filings, and assist in financial forecasting.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will develop predictive models, analyze large datasets, and enhance mission-driven analytics for a DoD customer, using Agile methodologies and integrating data from multiple sources.