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Top Data Science Jobs in Louisville, KY
The Scientist, Analytical Sciences / QC is responsible for analytical support of drug product development in a collaborative environment. Duties include managing quality events, leading analytical method development and validation, assuring compliance with regulatory submissions, and providing leadership in analytical CMC activities for oncology drug candidates.
As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.
As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.
As a Senior Data Scientist at Amperon, you will implement data validation processes, build advanced time series forecasting models, create features to enhance forecasting accuracy, monitor model training, evaluate performance, and deploy models into production environments, all while analyzing energy consumption data.
phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.
The Staff Data Scientist will lead the design, development, and deployment of advanced AI models, collaborating with cross-functional teams to enhance autonomous endpoint management capabilities. Responsibilities include analyzing data patterns, developing machine learning algorithms, ensuring AI model guardrails, and optimizing model performance in real-world applications.
The Associate Revenue Cycle Analyst will manage revenue cycle projects, drive performance in reimbursement operations, perform analysis to identify trends and improvement areas, and collaborate with various departments to enhance revenue cycle performance. They will also develop workflows and track key metrics.
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
The Data Scientist will design and optimize 3D data collection and computer vision technologies. Responsibilities include implementing algorithms, developing software for data processing and visualization, and collaborating with teams for project objectives while staying updated on technological advancements.
Data Specialists manage data exports and imports, perform quality assurance, and assist clients with technical support. They analyze and validate data while ensuring compliance with client schedules. The role involves client training and maintaining effective communication for troubleshooting and reporting purposes.
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