Data Science Engineer

Senior Data Science Engineer

In this role you will:

• Work closely with a team of machine learning engineers to develop software tools and automation frameworks that enable data scientists and analysts to deliver credit lending analysis, e.g., risk analysis, economic forecasts, fairness analysis, credit policy analysis.


• Collaborate with a cross-functional team of customer-facing teammates to ensure that the tools meet the needs of internal and external customers and are scalable, efficient, and user-friendly.

We are looking for:

• A minimum of a Bachelor's degree in a mathematical, computational, engineering, or computer science field, e.g., Applied Mathematics, Computational Physics, Computer Science.


• 2-5 years of related work experience. Overseas study/work experience is a plus.


• High proficiency with data wrangling, analysis, visualization, and code development using Pandas and Numpy in Python. Comfortable working through software edge enhancements and bug fixes, e.g., extending classes, unit test coverage, code debugging, interpreting stack trace errors.


• Exceptional communication skills, with the ability to quickly understand problems, interpret results, and explain next steps/outcomes to technical Zest-based collaborators.


• Proficient statistical and analytical ability (e.g., basic college level math & statistics) to tackle data-driven problems.


• Ability to manage and deliver multiple projects within their timelines.


• Nice to have: Knowledge about ML algorithms (regressions, tree-based models, supervised/unsupervised learning, feature engineering, etc.).

Technical Requirements:

• Data Science & Analytics: Python, Pandas, Numpy, Jupyter notebook


• Software development processes: Git, Linux