Top Remote Senior Level Data Science Jobs in Orlando, FL

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.

The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.

As a Senior Applied Scientist at Zillow, you will enhance search experiences using AI and ML techniques. Responsibilities include developing ranking models, utilizing language models for user queries, scaling systems for high search volume, and mentoring fellow scientists. You will also coordinate projects and keep up with AI advancements.

The Research Scientist will lead research and develop optimization algorithms for energy market participation, asset management, and risk management. Responsibilities include utilizing research insights to guide product direction, collaborating with various teams, and driving innovation within the company.

As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.

The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.