Senior Product Data Scientist defining and leading product experimentation and ML insights at MaintainX. Collaborating with cross - functional teams to improve product adoption and retention.
About the role
- Senior Data Scientist responsible for developing statistical models at Pipe. Impacting small businesses' financial outcomes through advanced data-driven insights and collaboration.
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.
Requirements
- 4-7+ years of experience developing and deploying machine learning or statistical models in a production environment (inclusive of relevant post-undergraduate academic work)
- Strong proficiency in Python and the broader data science ecosystem (NumPy, Pandas, scikit-learn, etc.), and high proficiency in SQL.
- Familiarity with cloud-based MLOps platforms (e.g., SageMaker, Vertex AI, or similar) and comfort partnering with engineering to deploy and monitor models in production.
- Personal or professional experience with, or strong interest in adopting, agentic development workflows and modern AI-assisted coding tools (e.g., Claude Code, Copilot, or similar).
- Deep fundamentals in probability, statistics, and machine learning, with the ability to choose the right tool for the problem.
- Experience with credit risk modeling, underwriting, or other risk decision science domains such as insurance is strongly preferred.
- Comfortable working cross-functionally and communicating complex modeling decisions clearly to both technical and non-technical stakeholders.
- Strong written and verbal communication skills.
- Bachelor's degree in Computer Science, Financial/Applied Math, Statistics, Economics, or a related technical field. Master's or PhD is a plus.
Benefits
- The best equipment to help you do your job.
- Flexible vacation and work hours. We believe in a healthy work-life balance (really!)
- Excellent health, dental, and vision insurance.
- Generous parental leave for anyone who is growing their family, regardless of gender.
- Great colleagues! We value a culture of authenticity, humility, and excellence. We want you to make a mark on our culture.
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