Job Title: Machine Learning Engineer - Predictive Modeling Specialist
About the Role:
This position involves developing and deploying machine learning models to predict creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. The successful candidate will work closely with data analytics and engineering teams to ensure high-quality data is used to train models.
Key Responsibilities:
* Develop interpretable, accurate, and scalable predictive models using datasets from AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Couch and mentor fellow data analysts and engineers.
* Evaluate the efficiency of delivery through effective planning, engagement, prioritization, development, testing, and release of work.
Requirements:
Data Science and Engineering Skills:
* Strong programming skills in Python and SQL.
* Experience working with cloud services like AWS and Snowflake.
* Knowledge of statistical and machine learning techniques for predictive modeling, classification, and regression.
Additional Requirements:
* Bachelor's degree in mathematics, statistics, economics, computer science, or a related quantitative field (or equivalent experience).
* Relevant work experience in machine learning and statistics.
* Ability to communicate effectively with technical and non-technical audiences.
* Capacity to adapt to changing priorities and deadlines.
Benefits:
* Competitive salary.
* Remote work environment.