Senior Data Scientist
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Job Description
Sr. Data Scientist architecting decision-making for financial software company. Building machine learning solutions to enhance customer experiences for distressed borrowers.
Responsibilities:
- Contribute innovative ideas to the technical and product roadmaps, estimating effort.
- Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations.
- Proactively solve code challenges by anticipating breaks and considering downstream impacts.
- Take full end-to-end responsibility for complex initiatives, from scoping to production deployment and maintenance.
- Improve departmental code quality through thoughtful, detailed code reviews and establishing best practices for AI-assisted development.
- Stay ahead of industry trends, introducing new techniques and keeping a record of tech debt with paths to resolution.
- Handle complex issues independently, serving as the technical authority for the team.
Requirements:
- 5+ years of relevant experience and a strong foundation in statistics, machine learning, or a similar quantitative field.
- Experience leveraging AWS (S3, Lambda) and SageMaker to build, train, and deploy machine learning models at scale.
- Mastery of Python and deep experience with ML techniques like regression, classification, and optimization.
- The ability to make well-reasoned design trade-offs and provide high-level advice across multiple components of a domain.
- Experience using AI tools to rapidly prototype features and the ability to define validation standards for AI-generated code.
- A solid understanding of product experiment design, analytics, and statistically rigorous analysis.
- Familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch) and libraries like Pandas/Numpy.
- Experience building model development pipelines and productionizing models at scale.
Benefits:
- Unlimited PTO
- Medical benefit contributions in congruence with local laws and type of employment agreement
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