Sr. Data Scientist I

Work-Life Benefits

Unlimited PTO

Medical benefit contributions in congruence with local laws and type of employment agreement

What You'll Do:

Drive the Roadmap: Contribute innovative ideas to the technical and product roadmaps, estimating effort for discovery and high-velocity execution.

Collaborate & Translate: Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations.

Predict & Prevent: Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions.

Own the Lifecycle: Take full end-to-end responsibility for complex initiatives, from initial scoping with stakeholders to production deployment and maintenance.

Lead by Example: Improve departmental code quality through thoughtful, detailed code reviews and by establishing team-level best practices for AI-assisted development.

Innovate: Stay ahead of industry trends, introducing new techniques and keeping a rigorous record of tech debt with clear paths to resolution.

Solve Complex Problems: Handle the most challenging issues in your area of expertise independently, serving as the technical authority for the team.

Who You Are:

The Seasoned Pro: You have 5+ years of relevant experience and a strong foundation in statistics, machine learning, or a similar quantitative field.

The Mentor: You find fulfillment in pairing with other engineers to share knowledge and support team members in preventing burnout.

The Communicator: You can facilitate high-stakes meetings with both technical and non-technical stakeholders, leaving everyone with a clear sense of the "so what."

The Strategist: You understand the business impact of your projects and can effectively communicate the technical roadmap to leadership.

The Finisher: You have the grit to see complex epics through to completion, valuing even the "undesirable" work if it helps the team move faster.

What You Bring:

Cloud & ML Infrastructure: Proven experience leveraging AWS (S3, Lambda) and SageMaker to build, train, and deploy machine learning models at scale.

Technical Proficiency: Mastery of Python and deep experience with ML techniques like regression, classification, and optimization.

Architectural Wisdom: The ability to make well-reasoned design trade-offs and provide high-level advice across multiple components of a domain.

AI-Forward Mindset: Experience using AI tools to rapidly prototype features and the ability to define validation standards for AI-generated code.

Experimentation Expertise: A solid understanding of product experiment design, analytics, and statistically rigorous analysis.

Tooling Fluency: Familiarity with modern ML frameworks (e.g., TensorFlow, PyTorch) and libraries like Pandas/Numpy.

Operational Excellence: Experience building model development pipelines and productionizing models at scale.