Senior Data Scientist

We are looking for a seasoned Senior Data Scientist to join our Analytics team to enable core business transformation. This role is about building and pressure-testing the models and proposals that drive how we price, approve, and grow, and doing it with the statistical and analytical rigor to prove they work before they ship.

What You Will Do

You will own a production system end to end, helping operate and evolve our proprietary risk-based pricing engine, the application that powers our real-time offer decisioning. You will work closely with business stakeholders to understand problems and propose & implement AI/ML solutions, and you will partner with DevOps, Product, and Engineering to take models from notebook to production.

Why It Might Be a Fit

We want someone who leans on modern AI and LLM tooling to make their own analysis, modeling, and experimentation faster and sharper, not someone who does things the slow, manual way.

Requirements

• 4-7 years of experience in Data Science and the Financial Industry, preferably in Credit or Lending.
• Master's degree in mathematics, statistics, computer science, or data science.
• Experience in transforming existing processes with AI/ML-based approaches.
• Proficiency in data manipulation. Excellent SQL and Python skills for data wrangling and ETL.
• Hands-on AWS / cloud experience deploying and operating production ML services (compute, storage, IAM, containerized deployment).
• Experience building or maintaining production applications and services, not just models in notebooks.
• Experience with dashboard tools such as PowerBI or other visualization tools.
• Experience building credit or risk models for Financial Services, Lending, or Insurance.
• Experience in validating models to identify ongoing improvements.
• Rock Solid data science skillset: Exploratory Data Analysis, Feature Engineering, Fitting, Tuning, and Comparing models, and managing the model Lifecycle.
• Experience with statistical modeling and data analysis using programming languages such as Python.
• Experience in ML engineering, cloud-based deployment, and machine learning model lifecycle management.
• Knowledge of best practices for financial and lending models (model risk management, model governance, and fair-lending considerations) is a big plus.
• Comfort using modern AI and LLM tools to make your own analysis and modeling more efficient (a plus).
• Experience with dbt (major plus).

Benefits

• Competitive salary
• Local & National Health Insurance
• Dental and Vision insurance
• Group Medical Bridge
• 401k with Match
• ID Protection: 100% covered by the company
• Life Insurance: 100% covered by the company
• Generous PTO and holidays
• Growth and development opportunities
• Dynamic and collaborative work environment
• Company events and team-building activities