Top Senior Level Data Science Jobs in Kansas City, MO

As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Staff Data Scientist, you will analyze data discrepancies, support investigation of data anomalies, size opportunities for metric improvements, implement data quality controls, and lead strategic initiatives to enhance data integrity. You will collaborate with engineers and communicate best practices to ensure data reliability across teams.

The Data Science Senior Manager will lead the Lingo Data Science team, focusing on building next-generation Biowearables. Responsibilities include developing machine learning models, analyzing biological data, discovering trends in large data sets, conducting advanced statistical analyses, and designing signal processing algorithms.

The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.

As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.

As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.