Top Data & Analytics Jobs in Tampa Bay, FL

Support the Data Science team in analyzing features for online real-time bidder models, creating machine learning bidder models, and collaborating with various teams to drive product efforts. Responsibilities include designing/acquiring features, implementing bidder algorithms, data analysis, model development, and presenting insights. Qualifications include an advanced degree in a quantitative field, proficiency in Python and SQL, experience in machine learning frameworks, and 3+ years of experience in developing machine learning algorithms.

Experienced Data Engineer responsible for designing, building, and maintaining data pipelines and infrastructure to support data science and machine learning initiatives. Collaborates with data scientists and business stakeholders to engineer features for advanced analytical models. Develops robust data pipelines, ensures data quality, and supports development environments while adhering to data governance standards. Mentors and guides junior data engineers.

Design, develop, and maintain Qlik Sense applications to support business intelligence and data visualization needs. Collaborate with cross-functional teams to translate data requirements into technical specifications and provide actionable insights. Develop visually appealing and interactive dashboards and reports using Qlik Sense. Conduct testing and validation of applications to ensure accuracy and reliability.

Senior Analyst position at Pie Insurance responsible for competitive analysis, researching market pricing, establishing metrics and models for commercial auto product line, and monitoring market competitiveness. Involves data analytics, data manipulation, BI tools, and collaborating with various teams within the organization.

Lead a team of Data Scientists, Machine Learning Engineers, and Data Analysts to apply quantitative methods and develop ML models to deliver customer value and enable iterative product development. Shape the vision and strategic role of Data Science and AI. Oversee the design, development, and deployment of AI/ML solutions for various business domains. Engage with Product and Engineering leaders to support strategic analysis and initiatives beyond reactive requests.

Responsible for managing enterprise data integration efforts across business units, leading a team of data engineers, planning and driving the roadmap for integrating corporate data, and providing thought leadership on data management and analysis. Ensures access to clean, consistent, and logical enterprise-wide data to stakeholders.

Empower is seeking a Senior Data Scientist to join their team and work on machine learning models for evaluating creditworthiness and developing financial products. This role offers a competitive salary, generous equity package, full healthcare benefits, and the flexibility to work from anywhere.