Senior Data Scientist
New
P
Pipe TechnologiesFinancial Services
Remote, North AmericaFull-TimeSenior
Salary180,000 - 220,000 USD per year
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Job Details
- Experience
- 4-7+ years
- Required Skills
- PythonSQLMachine LearningNumpyPandasscikit-learnMLOps
Requirements
- 4-7+ years of experience developing and deploying machine learning or statistical models in a production environment
- Strong proficiency in Python and the broader data science ecosystem (NumPy, Pandas, scikit-learn, etc.)
- High proficiency in SQL
- Familiarity with cloud-based MLOps platforms (e.g., SageMaker, Vertex AI)
- Experience with or strong interest in adopting agentic development workflows and modern AI-assisted coding tools
- Deep fundamentals in probability, statistics, and machine learning
- Experience with credit risk modeling, underwriting, or other risk decision science domains
- Comfortable working cross-functionally and communicating complex modeling decisions
- Strong written and verbal communication skills
- Bachelor's degree in Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field
Responsibilities
- Independently developing and owning statistical models that forecast cash flows and other drivers of business and customer health.
- Designing and building models that optimize our product offerings to better serve our customers' needs.
- Proactively exploring datasets to surface insights, and prototyping new approaches that create measurable value for customers.
- Taking full outcome ownership of deployed models, including performance monitoring, residual analysis, and iteration, in close collaboration with engineering.
- Mentoring junior team members, raising the technical bar through code and design review, and contributing to our data science best practices and long-term tooling roadmap.
- Partnering with engineering and data engineering to productionize models, shape data infrastructure requirements, and improve our MLOps foundations.
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