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Top Fintech Data Science Jobs in Kansas City, MO
The Senior Data Scientist will derive insights from data, develop data models, and improve data pipelines while partnering with revenue and marketing teams. Responsibilities include analyzing trends, conducting experiments, and leveraging analytical models to enhance sales and user experience.
The Senior Data Scientist will drive complex projects focused on machine learning, providing insights, developing predictive models, and implementing innovative solutions for products. Responsibilities include building scalable ML infrastructure, collaborating with teams, and mentoring juniors while ensuring performance optimization and compliance with MLOps practices.
The Credit Analyst II conducts credit analysis to support portfolio management and business development, including financial statement analysis, risk evaluation, and preparation of credit approval requests, all while communicating with relevant teams to ensure comprehensive evaluations.
As a Staff Data Scientist, you will translate customer goals into data-driven solutions, using machine learning and statistical practices to enhance product accuracy and usability. You will work in cross-functional teams to analyze data quality, develop techniques for anomaly detection, and contribute to data product development.
The Data Scientist I role involves developing and monitoring quantitative models, analyzing large datasets using various analytical techniques, and collaborating with technology teams to implement models. Responsibilities include data management, model performance assessment, and advising management on trends and risks.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
As a Staff LLM Data Scientist, you will design and fine-tune LLMs, build advanced Retrieval Augmented Generation pipelines, implement evaluation frameworks, and deploy models into production. A strong focus on generative AI applications in investment is needed, alongside collaboration with product and engineering teams.
As a Staff Data Scientist at Zora, you will manage complex data challenges, design and build data systems like ETLs and dashboards, and promote a culture of experimentation through A/B testing. You will also develop metrics for products and contribute to algorithms and recommendations, collaborating with stakeholders to drive data-led decisions.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
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