Top Senior Level Data & Analytics Jobs in Kansas City, MO

As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.

As a Manager, Data Analytics, you will lead the development of a data analytics team at Ontra, translating business challenges into metrics, driving actionable insights, and coaching the team in delivering high-impact solutions. This role requires problem-solving skills, resilience, and the ability to foster a data-driven culture within the organization.

The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.

The Senior Data Analyst will work within the Analytics team to analyze seller behaviors, define key metrics, and drive decisions that improve the Supply product's effectiveness. Responsibilities include conducting analyses, performing A/B testing, partnering with engineers, and communicating insights to influence product development.

The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.

As a Data Scientist at Monte Carlo, you will design and implement production-grade machine learning algorithms, lead ML projects, and solve complex challenges related to anomaly detection and prediction. This role requires collaboration with a team of data scientists and engineers in a fast-paced startup environment, focusing on enhancing data reliability.