Top Remote Data & Analytics Jobs in Tallahassee, FL

As a Data Analyst at Shift5, you will analyze large data sets, identify trends and anomalies, and provide insights to support operational decisions. You will collaborate with cross-functional teams, perform quantitative analyses, and translate data findings into reports and dashboards. A focus on detail, technical proficiency in data analysis, and the ability to communicate insights effectively are essential for this role.

As a Senior Machine Learning Engineer at Nomad Health, you will lead end-to-end machine learning projects, creating models that address critical business challenges. Responsibilities include designing and delivering ML models, maintaining production models, and leveraging cloud-based technologies.

As a Staff Applied Research Scientist, you will oversee the research process, collaborate with your team, contribute to the design of research roadmaps, and train other members while solving complex problems in media creation using deep learning techniques.

The Lead Data Scientist will enhance the Fingerprint Pro Identification Service using advanced data science and machine learning techniques in real-time settings. Responsibilities include developing algorithms, leading projects, mentoring team members, conducting exploratory analyses, and fostering a data-driven culture within the engineering team.

As a Staff Decision Scientist, you will analyze large datasets, develop forecasting models, and provide data-driven insights to support risk policies and enhance customer lifetime value. You will collaborate with cross-functional teams and communicate findings effectively to stakeholders, including senior leadership.

The Senior Product Data Scientist will develop and optimize data models and analytics tools, collaborate with engineering and product teams, and communicate findings to both technical and business audiences. The role focuses on creating customer-facing data products while ensuring scalability and security.

As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.