Top Fintech Data Science Jobs in Kansas City, MO

The Analytics Lead will drive the evolution of data infrastructure and reporting, manage data governance, and mentor team members. Responsibilities include designing databases, developing ETL pipelines, and ensuring data quality across HR platforms while collaborating with stakeholders for data-driven decisions.

As a Senior Data Scientist, you'll conduct analyses, own data and metrics, guide code reviews, and maintain statistical rigor in experimentation and causal analyses to support the Coinbase Institutional business.

As a Data Science Intern, you will analyze data, communicate insights to stakeholders, and collaborate with ML scientists to enhance products and models.

The AI Data Analyst will engineer data extraction pipelines, conduct statistical analysis, validate metrics with AI, and support organizational insights through rigorous analysis.

The Fraud Data Scientist develops and implements statistical analysis and machine learning algorithms for fraud modeling, collaborates with the organization for insights, and evaluates model performance.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

As a Senior Product Analytics Data Scientist at Guild, you will drive product strategy and accountability through analytics, experimentation, and KPI definition that aligns product investments and validates impacts.

The Director of Data Science will build analytic models, support decision making with data insights, and create visualizations from structured and unstructured data.

As a Data Scientist, you'll develop machine learning models for credit and fraud risk management, optimize underwriting decisions, and improve risk strategies using complex data analysis.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.