Senior Full Stack Data Scientist
We are seeking a highly skilled Senior Full Stack Data Scientist to join our team. As a key member of our data analytics team, you will be responsible for applying advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
Key Responsibilities:
* Develop and deploy machine learning models using Python and AWS SageMaker.
* Work closely with the data analytics and data engineering teams to ensure high-quality data is used in model training.
* Collaborate with cross-functional partners, including product owners, managers, and data analysts, to integrate models into production systems.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
Requirements:
To be successful in this role, you will need:
* A Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Experience with cloud services and tools, including AWS SageMaker, Snowflake, and model registry tools such as MLflow.
* Familiarity with programming languages, including Python and SQL.
Benefits:
As a valued member of our team, you can expect:
* A competitive salary.
* A remote first work environment, where you have the flexibility to work from anywhere.