Happy Money is looking to solve the problem of empowering people to achieve their financial goals through simple, transparent loans, and is seeking a Principal Data Scientist to build production-grade machine learning solutions to drive business impact.
Requirements
- Expert knowledge of Python or R and SQL for data manipulation, statistical analysis, and machine learning at scale
- 7+ years building and deploying supervised and unsupervised machine learning models in production environments
- Experience with AWS technical stack and deploying models via API (Lambda, SageMaker) or containerized solutions (Docker, Kubernetes)
- Experience with distributed computing frameworks (Spark, Hive, Hadoop, EMR, or similar)
- Strong knowledge of statistics, machine learning (logistic regression, ensemble methods, deep learning, optimization), and model calibration techniques
- 5+ years of experience designing and analyzing A/B tests and experiments with statistical rigor
- Advanced formal training in a quantitative field: MS or PhD in Statistics, Computer Science, Mathematics, Physics, Engineering, or related discipline with rigorous quantitative foundations
Responsibilities
- Design, build, and deploy production machine learning models and pipelines end-to-end, partnering closely with Product and Engineering teams to ensure robust, scalable implementations
- Lead technical innovation across the data science organization by improving existing DS processes, championing best practices, and bringing data science solutions to new business areas
- Develop financial models using alternative data sources to identify creditworthiness and expand access to financial support for underserved populations
- Build behavioral models to uncover patterns that drive positive financial outcomes, increase member engagement, and enhance product utility
- Perform rigorous model calibration, validation, and monitoring to ensure models drive reliable business decisions at scale
- Create clear visualizations and dashboards to communicate complex quantitative analyses to business stakeholders and drive strategic decisions
- Serve as a technical mentor, sharing knowledge across the team and elevating data science capabilities organization-wide
Other
- 10+ years of business experience building and deploying machine learning models that solve marketing, risk, or product problems, with demonstrated success driving business impact
- Ability to communicate complex quantitative analyses in a clear, precise, and actionable manner to both technical and non-technical stakeholders
- Proven ability to drive projects from ideation through production deployment with minimal guidance
- Generous medical, dental, and vision insurance options
- Eligible for Annual Bonus
