Senior Data Scientist Opportunity
We are seeking an experienced Data Scientist to develop and deploy advanced machine learning models that predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors. This role will work closely with the Data Analytics and Engineering teams to ensure the models are trained on high-quality data and integrated into production systems.
Responsibilities:
* Create interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers.
* Efficiently deliver projects through effective planning, engagement with others, prioritization, and development, testing, and release.
* Exhibit and foster company culture and operating principles.
Requirements:
* Master's degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis. Relevant bachelor's degree with 10+ years of experience also considered.
* Very 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 theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Strong knowledge of Python and SQL.
* Experience with AWS cloud services and tools, including SageMaker for model development, training, and deployment.
* Experience working with model registry tools such as MLflow, SageMaker Model Registry, or similar systems.
Benefits:
* Competitive salary and benefits package.
* Remote first work environment with flexibility to work from anywhere.