Tuesday, January 26, 2016

Stubhub is Hiring a Remote Data Science Manager


StubHub (an eBay company) is looking to hire a data science manager to lead their growing data science group. The team is tasked with solving issues with, " Fraud Detection, Personalization, Ticket Recommendations, and other high-return-on-effort applications as they arise." The ideal candidate will have the following requirements:

  • - PhD in Math, Statistics, Operations Research, Physics, Economics, Computer Science or equivalent quantitative field from a top tier school.
  • - 5 years personally developing statistical and/or machine learned models and algorithms based on data generated by consumer behavior.
  • - 2+ years people management or project lead experience.

Monday, January 25, 2016

AdRoll is Hiring a Senior Full-Stack Engineer and Data Scientist


AdRoll, an adtech company, is looking to hire a senior full-stack engineer/data scientist - as if hiring one or the other wasn't difficult enough! This magical person will design and build fault-tolerant recommendation systems along with the backend, front-end and in-between filling. If you are up for this challenge apply via the link above. 
The requirements are:

  • 5+ years experience building production web applications in a corporate or start-up environment.
  • Productive in one or more server-side web frameworks and object-oriented languages. Bonus for experience with a front-end JavaScript framework.
  • Strong fundamentals: B.S. or M.S. in Computer Science or equivalent experience.

RevFunnel is Hiring a Remote Data Scientist


RevFunnel is looking to hire a data scientist to help them build (initially) a predictive model to score incoming leads to the business. Kudos to them for having a specific initial product already picked out! The position is listed as being contract. I also can't find anything about what the company does.
Our Ideal Candidate Profile:
Master degree or better in Mathematics or Statistics
3+ years in data modeling and quantitative analysis
2+ years in ML algorithmic design, predictive modeling, and recommendation systems

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