Top Data Science Jobs in Tampa, FL

As a Director at PwC, you'll guide AI and GenAI solution development, oversee global analytics teams, refine architectures, and foster collaboration to meet client objectives.

The role involves leading AI and GenAI solution development, managing analytics teams, and driving business growth through strategic direction and client engagement.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

This role involves leading data science projects, developing machine learning models, collaborating with stakeholders, and mentoring other data scientists.

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 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 Lead oversees a team to enhance data-driven decision-making, implements advanced analytics, and manages data engineering projects within military operations.

A data scientist analyzes data patterns, collaborates on AI/ML model development, and works with IT and business teams to optimize product development processes.

The Data Scientist will develop and deploy machine learning models, analyze data, and improve business performance using advanced analytics techniques, including NLP and deep learning.

Design, develop, and deploy advanced data-driven applications independently, utilizing full-stack Python, geospatial analytics, and DevSecOps in critical environments.

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 analyze complex data to derive insights, design data pipelines, and manage ML projects focusing on national security operations.

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.

The Data Scientist will analyze data, deploy machine learning models, and design workflows to enhance military and operational needs in mission-critical environments while working closely with clients.

The Senior Marketing Data Scientist leads audience strategy through data analysis and modeling, optimizing marketing investments and mentoring junior analysts.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The Quantitative Developer designs and develops systems, analyzes datasets, builds optimization models, and creates dashboards to support investment decisions.

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 Data Scientist will develop and oversee measurement systems, analyze customer behavior, enhance marketing strategies and translate data insights into actionable business recommendations.

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

The Research Data Scientist analyzes viewing data, develops machine learning models, builds data pipelines, and innovates new methodologies for measurement challenges in advertising.

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

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.