Top Senior Data Science Jobs in Tampa, FL

The role involves leveraging data analytics and AI techniques to support client needs, developing models, managing data teams, and building AI solutions. Key responsibilities include data processing, client collaboration, and presenting insights.

The role involves leading predictive analytics efforts in risk and quality use cases, mentoring team members, applying analytics for decision-making, and fostering innovation.

The Geospatial Data Scientist will lead the design and implementation of data architectures and algorithms to support GEOINT operations and customer intelligence requirements.

The Sr Data Scientist will analyze workforce insights, apply data-driven methodologies, communicate findings with stakeholders, and lead HR analytics projects to enhance employee experience and organizational performance.

Lead the Modeling and AI Enablement function within Marketing Data Science, guiding AI strategies, model development, and governance while managing a team of data scientists.

As a Staff Data Scientist, you will monitor and analyze personal loans underwriting models, driving data-driven decisions and enhancing model performance through deep analytical insights.

The Senior Data Scientist will analyze healthcare data to identify care gaps and segment key healthcare professionals, guiding strategic medical activities and mentoring other data scientists.

Champion Responsible AI across the enterprise by developing and operationalizing ethical, transparent, and compliant AI solutions. Lead R&D and production deployments of generative and traditional ML, design evaluation and monitoring frameworks, conduct model risk and fairness assessments, and partner with legal, compliance, and IT to implement governance and training.

The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead end-to-end data science initiatives: design, deploy, and monitor production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain reliable, scalable machine learning pipelines and monitoring systems.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

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

The Senior Data Scientist will leverage advanced analytical techniques to measure marketing effectiveness and drive business growth through insights from user behavior data.

The Senior Data Scientist will analyze business challenges, conduct experiments, develop metrics, and collaborate with teams to drive data-driven decisions and user growth.

The Data Scientist will analyze ambiguous problems, drive data-driven decision making, manage data metrics, and lead experimental rigor while collaborating with teams to improve Coinbase products.

The Senior Data Scientist will lead data analysis for AI products, collaborating with teams to influence product strategy and drive measurable business impact.

Lead the design and deployment of AI capabilities focusing on LLM solutions and healthcare ontologies, ensuring data governance and compliance.

The Senior Data Scientist will design experiments, analyze data, and drive growth strategy for the Clubhouse app, proactively identifying key questions and opportunities for improvement.

As a Senior Data Scientist, you'll build machine learning models for infrastructure cost prediction, enhance experimentation methods, and collaborate across teams to improve data quality and impact evaluation.

The Data Scientist will lead customer investigations, improve fraud detection, influence product direction, and mentor other analysts.

Design, implement, and evaluate transformer and generative-AI based NLP systems for clinical text. Process and enrich medical datasets, mitigate model risks (bias, hallucination), run experiments, and deploy models into the cloud with ML engineering partners to ensure reliability and compliance in regulated healthcare environments.

Lead development of a greenfield data product by partnering with customers and product teams to build analytics and models (simulation, Bayesian networks, optimization, ML). Maintain existing analytics, improve predictive churn models, and translate customer needs into production-grade SQL/dbt pipelines, dashboards, and data-driven product features.

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

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.