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

The VP, Customer Insights and Analytics will lead strategic projects to leverage customer data and insights to enhance marketing effectiveness. Responsibilities include directing the insights team in market research, evolving the operating model, and developing methodologies for quantitative and qualitative research to drive marketing strategies.

Headway is seeking a Senior Data Engineer to help create access to affordable, quality mental healthcare across the United States. This role involves collaborating on data infrastructure design, partnering with product/engineering for best practices, creating data pipelines for business insights, and building real-time data pipelines in coordination with the Data Science team.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Sr. Quality Assurance Analyst will lead integration activities with vendor QA teams, manage QA projects, ensure stakeholder interactions, and develop comprehensive test plans. They will collaborate with teams to oversee testing efforts, improve quality processes, and lead defect management initiatives while supporting a hybrid QA organization.

The Data Engineer III is responsible for constructing high-quality datasets, writing SQL queries, monitoring database stability, and assisting with data governance. They lead and mentor a team, architect data management systems, and create data pipelines on AWS. They also work independently to solve complex problems and collaborate with stakeholders to develop reliable solutions.

As a Senior Data Engineer, you will collaborate with cross-functional teams to design, build, and maintain a scalable data platform that supports automation and analytics features. Your role includes developing CI/CD pipelines, data monitoring systems, and mentoring peers while ensuring that the architecture facilitates machine learning deployment and self-service capabilities for end-users.