Senior Data Scientist
The Opportunity
* We are seeking a highly skilled and experienced Machine Learning Engineer to lead the development of advanced predictive models that drive business decisions and financial inclusion.
In this role, you 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. You will be responsible for creating interpretable, accurate, and scalable predictive models utilizing datasets generated from our cloud environments.
Core Competencies:
* Expert-level programming skills in Python and SQL.
* Strong communication and writing skills to translate technical concepts to non-technical audiences.
* High standards for delivering high-quality outcomes and projects.
* Ability to balance short-term goals with long-term objectives.
* Capable mentor and leader who inspires and empowers others on your team.
Required Skills and Qualifications:
* Masters 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, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Experience with AWS cloud services and tools, including AWS SageMaker for model development, training, and deployment.
Competitive Benefits That Support You:
* Remote-first work environment that trusts you to get your work done.