Come join the family that is taking care of the countries most vulnerable population!

This position is fully remote from anywhere in the US.

We are searching for a super star Staff Data Scientist!

• Leverage data to solve meaningful problems with appropriate complexity
• Collaborate with a diverse team across engineering, care operations, product management, sales and marketing, and more.
• 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.

About you:

• 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 Python in a production environment.
• 5+ years of industry experience.
• Expertise with numerical software packages such as NumPy, scikit-learn, or Keras.
• 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.

Bonus points if you have professional experience with:

• Designing systems to optimize portfolio allocation in a two-sided marketplace (E.g., ideal matches of people needing and providing care, automated financial incentives to staff remaining shifts, etc.)
• Using survival analysis and related methods to evaluate risk of employee churn and to predict future high-performers
• Collaborating with designers to develop effective methods of collecting data in order to quantify highly qualitative attributes, such as personality, taste preferences and perceived quality
• Using NLP methods to build data products from a variety of unstructured data sources, including phone calls and website forms
• Applying spatial statistics to incorporate geographic and regional differences in a variety of problem contexts

KEYWORDS:

Python, NumPy, Leras

5 years of experience

NLP Methods

Machine Learning