**Data Scientist Role Overview**
The position of a Senior Full Stack Engineer is now open, offering an exciting opportunity for professionals with advanced machine learning skills to join our team.
We are seeking a skilled engineer to apply 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 Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems. Key managers, product owners, and peers rely, produce, and interact with the data domain across the organization (e.g., Data Engineers, Data Analysts, Backend Engineers, Marketing, Sales). The ML Engineer will focus on creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
In addition to the technical responsibilities, you will coach and mentor your fellow data analysts and data engineers. You will ensure efficient delivery through effective planning, engaging with others, prioritizing, developing, testing, and releasing your work. Exhibiting and fostering the company culture and operating principles is also crucial.
* Key Responsibilities:
* Develop and implement advanced machine learning models for creditworthiness, transaction labeling, and other financial factors.
* Collaborate with Data Analytics and Data Engineering teams to ensure model quality and integration.
* Create scalable and interpretable predictive models using datasets from cloud environments.
* Mentor and coach junior team members in data analysis and engineering best practices.
Required Skills and Qualifications
* Technical Skills:
* Proficiency in Python programming language and SQL database management.
* Experience with machine learning frameworks like PyTorch and Scikit-learn.
* Familiarity with cloud services, particularly AWS SageMaker and Snowflake data warehousing.
* Knowledge of data registration tools such as MLflow and SageMaker Model Registry.
* Understanding of DevSecOps and MLOps in software development lifecycle.
Bonus Skills and Experience
* Desirable Qualifications:
* PhD degree in mathematics, statistics, economics, or computer science with a focus on data analysis.
* Experience working in FinTech or PropTech sectors.
* Familiarity with microservices architecture.
* Compliance knowledge in SOC2-certified, ISO-certified, or similar organizations.
Competitive Benefits Package
* A competitive salary.
* A remote-first work environment where we trust you to get your work done efficiently.