Senior Full Stack Data Scientist
Key Responsibilities:
* Create advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
* Collaborate with the Data Analytics and Data Engineering teams to ensure high-quality data and integrated production systems.
Skills and Qualifications:
* 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 industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Very strong knowledge of Python and SQL.
* Experience with AWS cloud services and tools.
Benefits:
* Competitive salary.
* Remote work environment.
Above and Beyond:
* Familiarity with Snowflake for cloud data warehousing, data integration, and efficient handling of large-scale data storage and processing.
* PhD degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
Core Competencies:
* Superb programming skills.
* Strong communication skills.
* High standards.
* Balance velocity with long-term goals.
* Heart of a teacher.
* Getting work done and driving excellence.
* Adaptability.