The Honor Foundation is hiring a
Staff Data Scientist

Summary

Join Honor as a data scientist and contribute to improving our operations platform through statistical and machine learning models. You'll collaborate with a diverse team, research operational problems, lead model design and implementation, integrate machine learning into user-facing applications, and mentor teammates.

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
• Wide-ranging professional experience solving complex business problems, and shipping/maintaining Python in a production environment
• 5+ years of industry experience
• Aptitude to rapidly iterate and deliver technical solutions that maximize business impact
• Expertise with numerical software packages such as NumPy, scikit-learn, etc
• Able to manage product ambiguity, seeking clarity when possible
• Are accountable end-to-end for your own projects, through planning, deployment, maintenance, and monitoring. You spot and address potential issues early

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

Benefits

• Honor offers equity
• 401K with up to a 4% match
• Medical, dental and vision coverage including zero cost plans for employees
• Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option
• Generous time off program
• Mental health benefits
• Wellness program
• Discount program