Top Senior Level Data & Analytics Jobs in Kansas City, MO
The Data Scientist III will develop and deploy production-quality Python code within a cloud-native architecture, automate processes, and leverage AI/ML algorithms. Responsibilities include data manipulation, collaboration, and contributing to project completion while ensuring attention to detail and quality.
The Head of Analytics at Peerspace will lead the analytics team, develop data strategies, and drive decision-making through data insights. Responsibilities include optimizing analytics infrastructure, establishing reporting frameworks, and collaborating with cross-functional teams to enhance marketplace efficiency.
The Programmer Analyst-II is responsible for developing and maintaining software scripts for healthcare data analytics, collaborating on new software applications, ensuring quality assurance, and supporting cross-departmental projects. The role involves processing client data, optimizing the computing environment, and communicating technical information to non-technical users.
The Principal Data Scientist will optimize Kajabi's data ecosystem, providing insights and strategic recommendations to enhance growth, engagement, and revenue across multiple functions. Responsibilities include developing data strategies, building predictive models, conducting business impact analyses, and communicating findings to senior leadership.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.
As a Senior Data Scientist at Tiger Analytics, you will leverage your expertise in AI and machine learning to design and build advanced analytics engines. Collaborating with teams, you'll develop and evaluate generative AI products, enhance model performance, and drive data-driven business solutions.
The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.
The Senior Commission Analyst will support the Finance team by ensuring the accurate calculation, analysis, and reporting of sales commissions. Responsibilities include developing compensation plans, analyzing metrics, building compensation models, and enhancing process efficiencies. Collaboration with Sales, Finance, HR, and Operations is essential to ensure alignment and compliance with compensation strategies.
The IBM Database Engineer will provide technical support and database/software implementation for Development, Testing, and Sustainment environments related to T-FADS systems. Responsibilities include managing databases, collaborating with teams, resolving technical issues, and influencing design solutions.
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