Top Data Science Jobs in St. Louis, MO
The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.
As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.
Saviynt is seeking a Sr. Revenue Operations Analyst to drive full funnel accountability across the revenue engine. Responsibilities include optimizing data operations, translating business requirements, providing strategic insights, and enhancing sales enablement. Qualifications include 3-5 years of revenue or sales operations experience, expertise in Salesforce, strong communication and analytical skills.
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Senior Unified Communications Analyst will resolve user incidents related to Unified Communications, manage video teleconferencing systems, assist in installation and maintenance of communication equipment, and collaborate with cross-functional teams to ensure efficient operations. Weekly reporting and documentation are also part of the role.
The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.
The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.
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 Scientist II role involves building machine learning models, researching product and customer behavior data for improvements, and employing predictive analytics techniques. You'll be responsible for conducting advanced data collection and analysis, making recommendations for data systems enhancement, and supporting the creation of complex machine learning algorithms.
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.
All Filters
No Results
No Results
