Top Data Science Jobs in Dayton, OH
As a Senior Revenue Operations Analyst, you will oversee sales process planning and optimization, ensuring data accuracy in Salesforce and improving revenue operations. Key responsibilities include opportunity management, data analysis, and reporting, collaborating with sales and IT teams to enhance processes and outcomes.
The Data Science and AI Manager will lead the development of advanced analytics solutions utilizing NLP and AI to enhance healthcare operations and patient care. This role includes mentoring a team, delivering complex data science projects, and collaborating with various departments to drive data-driven solutions. Responsibilities also involve predictive modeling, data analysis, and ensuring compliance with data regulations.
The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence. This role requires experience in NLP, machine learning algorithms, and data analysis.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
The Specialist in People Data and Payroll Administration is the first point of contact for employees, leaders, candidates, and retirees. They handle customer service inquiries related to HR policies and procedures, investigate queries, provide administrative support, maintain personnel files, and ensure confidentiality of information. The role involves triaging requests and suggesting improvements for HR processes.
Top Companies in Dayton, OH Hiring Data + Analytics Roles
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