Top Data Science Jobs in Miami, FL

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.

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

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Work with clients and engineers to audit marketing datasets, build analytics pipelines, and apply predictive models (segmentation, attribution, propensity) using SQL, Python, cloud big-data tools, and ML frameworks. Support implementations, develop analytic applications, and communicate findings to drive marketing outcomes.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

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.

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

The Data Scientist will develop predictive models, analyze statistical data, and optimize supply chain processes while collaborating with business and technical teams.

The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.

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.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

Embedded within a core business area, you will define problems, build metrics and reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Own the end-to-end analytical function for a business unit (growth, product, AI, or partnerships): define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions with stakeholders to deliver measurable business impact.

Embedded data scientist responsible for defining problems, building metrics and analyses, designing experiments, surfacing insights, and driving data-informed decisions across growth, product, AI/automation, or partnerships. Own end-to-end analytics, reporting, and stakeholder recommendations to improve key business metrics.

Embed with a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end for product, growth, AI, or partnerships.

Embed within a business unit to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end across growth, product, AI, and partnerships.

Embedded in a core business area, own analytics end-to-end: define problems, build reports, run analyses and experiments, surface insights, and drive data-informed decisions to improve key metrics.

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

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 developing graph algorithms, data pipelines for identity verification, and supporting data analysis for compliance products.

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