Top Remote Data Science Jobs in Pensacola, FL

The Staff Data Scientist will lead analytics and machine learning projects, improve product metrics, and collaborate with cross-functional teams to drive insights and strategies for the Base app.

The role involves analyzing products, designing experiments to measure impacts, and enhancing data infrastructure for better decision-making in product development.

Lead the design and development of scalable machine learning systems, mentor data scientists, and influence product roadmaps to enhance customer experience and business outcomes.

The Data Scientist will analyze user behavior data, design experiments, create dashboards, and provide insights to drive business growth and optimize products.

The Data Scientist will develop and evaluate AI-augmented information retrieval models, build NLP pipelines, and contribute to knowledge graph work while collaborating with Engineering, Product, and Marketing teams.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

This role involves analyzing blockchain data, mentoring a team, building models, and collaborating with blockchain researchers to enhance product development and security.

The Senior Data Scientist will influence product roadmaps, drive AI/ML capabilities, and perform deep-dive analysis to shape data-informed strategies.

The Data Scientist will analyze customer behavior data, drive business decisions through analytics, and collaborate with cross-functional teams to enhance product and revenue strategies.

The Staff Data Scientist will analyze user behavior, lead experiments, create dashboards, and collaborate with cross-functional teams to drive product improvements and business growth.

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.

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

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.

The role involves leading data science initiatives to drive business outcomes, mentoring junior scientists, performing analyses for decision-making, and using advanced technologies for optimization and causal analyses.

Conduct analysis, guide data metrics, oversee ETL jobs, and ensure statistical rigor. Collaborate with teams to drive impactful data science projects.

Lead design and development of ML systems for restaurant technology, including menu recommendations and demand forecasting, influencing strategic decisions and enhancing customer experiences.

The Senior Data Analyst will analyze data in Supply Chain and Manufacturing to drive recommendations, develop production management systems, and mentor junior analysts.

The Data Scientist will develop and maintain predictive models for insurance, support business strategies, and collaborate with teams to enhance decision-making.

This Data Scientist III role involves developing algorithms using machine learning on large datasets to drive business solutions, participating in projects, and potentially coaching other specialists.

Develop measurement frameworks for content quality and value, using statistical methods to inform strategic content decisions and enhance organizational insights.

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

Lead the forecasting team at Pinterest, focusing on model development for key metrics, driving strategic insights, and mentoring data scientists. Collaborate across departments to integrate forecasts into decision-making processes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

Lead the data science team in developing analytical frameworks, mentoring members, and collaborating with engineering and research to deliver insights for investment management.

The Data Scientist 2 will develop fraud detection models and advance products focusing on identity verification, requiring strong technical skills and research capabilities.