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Top Fintech Data Science Jobs in Kansas City, MO
The Research Scientist will focus on productionalizing and deploying machine learning models within the Personal Loans, Underwriting team. Responsibilities include building and maintaining risk evaluation models, collaborating with the Machine Learning team, and applying statistical and machine learning methods to improve Upstart's lending marketplace.
The Senior Data Scientist (AI) at Cedar focuses on leveraging AI and data to enhance patient payment solutions. Responsibilities include developing AI features, creating curated datasets, collaborating with engineering, and advocating for new AI opportunities. The role requires significant experience in AI/ML and APIs, along with technical leadership in a cross-functional environment.
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As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.
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The Data Scientist will focus on developing, deploying, and improving data science products within the Data Utility Office, utilizing machine learning and AI to add value to internal Federal Reserve functions. Responsibilities include maintaining operational ML/AI, enhancing data models, and collaborating with teams to create new machine learning features.
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The Senior Credit Analyst will drive Step's Lending projects by building pricing models, creating customer risk profiles, performing credit risk analysis, and collaborating with cross-functional teams. Responsibilities include tracking KPIs, optimizing profitability, and conducting ad-hoc analyses to support lending strategies.
The Senior Credit Analyst will be responsible for building pricing models, ideating on pricing structures, implementing data tracking for lending projects, modeling product performance, and optimizing profitability in collaboration with cross-functional teams. The role requires extensive experience in analytics, financial analysis, and credit risk analysis.
As a Data Scientist at Gauntlet, you will conduct research to improve DeFi protocols' safety and efficiency, analyze complex datasets, manage client relationships, and create engaging research content. You will also be responsible for developing visually compelling dashboards for both internal and external use.
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The Data Scientist will enhance the company's data science and machine learning capabilities, driving statistical modeling, improving product recommendation systems, and developing predictive models. Responsibilities include managing the lifecycle of data science projects, collaborating with engineers for deployment, and turning insights into automated services.
The Senior Data Scientist will develop and deploy machine learning models to optimize business decisions including portfolio optimization and marketing media modeling. They will work cross-functionally to create data products that impact business operations and require strong problem-solving and analytical skills.
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.
Top Companies in Kansas City, MO Hiring Data + Analytics Roles
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