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Data Scientist

Earth City, MO💼 Full-time💰 $111,605–$111,605🗓 2026-07-13 → 2026-07-30

Core

Design data models and develop predictive analytics solutions for mortgage origination, underwriting, and lending platforms.

Role type

Senior Data Scientist (Mortgage & Lending)

Builds

Scalable data solutions, predictive models, and dashboards for mortgage technology platforms.

Domain

Financial Services / Mortgage / Lending

Deliverable

production ML models | dashboards & analysis

Required skills

Machine Learning, statistical modeling, data modeling, data governance, feature engineering, cloud data architecture, SQL, Python

Preferred skills

Generative AI, Prompt Engineering, LLM optimization, RAG frameworks, MLOps, Azure AI, AWS AI Services

Technologies

Azure AI, Azure OpenAI, AWS AI Services, Cloud platforms, Data warehouses, ETL ecosystems

Responsibilities

Design and maintain data models for mortgage platforms; Develop predictive and prescriptive analytics solutions; Collaborate with engineering teams to build scalable data solutions; Analyze large datasets to identify business trends and risk indicators; Define enterprise data standards and governance processes; Build data pipelines and feature engineering frameworks; Partner with stakeholders to translate requirements into data models; Develop dashboards and executive reporting solutions.

Seniority

Senior, hands-on IC

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