Principal Data Scientist

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Requirements:

• Excellent communication skills with both technical and non-technical peers.
• Excellent mathematical and statistical fundamentals, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience.
• Strong product sense.
• Wide-ranging professional experience solving complex business problems and shipping/maintaining Python in a production environment.
• 7+ years of industry experience.
• Expertise with numerical software packages such as NumPy, scikit-learn, etc.
• Expertise in managing product ambiguity, seeking clarity when possible.
• Foster an environment of end-to-end accountability for team projects, through planning, deployment, maintenance, and monitoring.

Responsibilities:

• Leverage data to solve meaningful problems with appropriate complexity.
• Collaborate with a diverse team across engineering, PM, and care operations to define a strategy and execute against it.
• Research operational/logistical problems and proactively identify potential solutions.
• Lead the design, implementation, and evaluation of descriptive and predictive models.
• Integrate machine learning into user-facing applications.
• Mentor and provide technical oversight on teammates' projects throughout the project lifecycle.