Top Data Science Jobs in Tulsa, OK
The Senior Unified Communications Analyst will be responsible for resolving Unified Communications user incidents and requests, working with vendor-specific video teleconferencing systems, providing weekly reports, and assisting in the installation of data and voice communications equipment. This role requires a security clearance and full-time on-site support.
As a Data Scientist at Komodo Health, you will deliver high-value analytics projects, implement client solutions using statistical analysis and ML, develop an understanding of healthcare claims data, and create plans to scale solutions. You will present insights to partners and promote good engineering practices.
The Revenue Operations Analyst at TeamSnap is responsible for developing revenue forecasts, tracking key performance indicators, creating dashboards for stakeholders, and collaborating with sales, marketing, and finance teams to optimize revenue performance. The role involves providing data-driven insights, improving forecasting methodologies, and ensuring alignment on revenue goals.
The Senior Data Scientist is responsible for performing data analysis and providing quantitative solutions to business problems. This includes developing and implementing prediction and optimization models, maintaining existing mathematical procedures, and supporting internal and external teams. The role also involves mentoring data scientists and communicating findings to both technical and non-technical audiences.
The Data Scientist will be responsible for generating insightful reports and supporting finance and operations teams with data-driven decision-making. They will design and maintain efficient ETL processes, generate meaningful reports by analyzing financial data, identify process improvement opportunities, and collaborate with cross-functional teams.
As a Research Scientist at Waabi, you will lead AI research projects to develop algorithms for autonomous systems, work on self-driving related challenges, and deploy solutions into production while ensuring integration with platform teams. You will also publish findings at top conferences and contribute to advancing AI technologies.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
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.
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