Senior Data Scientist — Mortgage & Real Estate ML

Consolidated Analytics, Inc.; Tennessee; On-site; USD 100,000 - 170,000; Full time

Job summary

Consolidated Analytics, Inc. in Tennessee is seeking an experienced Data Scientist to build data-driven solutions for mortgage and real estate clients. You will explore data, engineer features, and develop production-grade ML models across the full lifecycle.

Join a team collaborating with Data Engineering, Product, Technology, Analytics, and Business units to deliver scalable insights and decisions. Prior mortgage domain experience is preferred but not required.

Qualifications

• Bachelor's or master's degree in data science, CS, statistics, mathematics, engineering, economics, or another quantitative discipline.
• Strong professional experience in Data Science, Machine Learning, Advanced Analytics, or a related field.
• Strong proficiency in Python and SQL.
• Experience developing predictive models using real-world datasets.
• Experience with feature engineering, model evaluation, and model optimisation.
• Experience working with large and complex datasets.
• Ability to translate business requirements into analytical and machine-learning solutions.
• Strong problem-solving and analytical skills.
• Ability to communicate complex technical concepts to different audiences.

Responsibilities

• Design, develop, and productionise machine learning and statistical models.
• Work with large-scale structured and unstructured datasets.
• Perform exploratory data analysis to identify patterns, trends, anomalies, and opportunities.
• Develop advanced feature engineering and data transformation pipelines.
• Build predictive models using techniques such as regression, tree-based models, gradient boosting, ensemble modelling, clustering, ranking, and deep learning where appropriate.
• Develop end-to-end ML pipelines covering data preparation, training, validation, deployment, scoring, and monitoring.
• Conduct model backtesting, benchmarking, hyperparameter optimisation, and performance analysis.
• Develop model explainability and interpretability using techniques such as SHAP and feature importance.
• Monitor model performance, data drift, feature drift, stability, coverage, and production accuracy.
• Develop scalable batch and real-time prediction pipelines.
• Build reusable analytical frameworks rather than one-off solutions.
• Design automated data-quality and model-quality checks.
• Investigate production issues and perform root-cause analysis.
• Identify opportunities to improve existing models, data pipelines, and analytical methodologies.
• Work closely with Data Engineers and Software Engineers to move models from experimentation into production.
• Translate business problems into measurable data science objectives.
• Present model results, insights, recommendations, and trade-offs to business stakeholders and leadership.

Skills

Python

SQL

Data Science

Machine Learning

Analytical thinking

Communication

Education

Bachelor's or Master's degree in data science, CS, statistics, mathematics, engineering, economics, or related quantitative field

Tools

Python

SQL

PySpark

NumPy

Scikit-learn

XGBoost

LightGBM

CatBoost

MLflow

SHAP

TensorFlow

PyTorch

Git

Docker

REST APIs

FastAPI

CI/CD

Automated ML pipelines

Cloud deployment

Job description

Consolidated Analytics, Inc. in Tennessee is seeking an experienced Data Scientist to build data-driven solutions for mortgage and real estate clients. You will explore data, engineer features, and develop production-grade ML models across the full lifecycle.

Join a team collaborating with Data Engineering, Product, Technology, Analytics, and Business units to deliver scalable insights and decisions. Prior mortgage domain experience is preferred but not required.