Senior Data Scientist

Company Name: Glassdoor
Location: Mill Valley, CA
Date Posted: 07th Oct, 2016
Description:

As a Senior Data Scientist, you’ll be part of our Jobs Data Science and Machine Learning team and build algorithms to deeply understand jobs, their requirements, as well as job seekers and their skills.

You’ll be part of a very small, fast-growing and rapidly innovating team within Glassdoor building our next generation recruiting product. You will have a lot of ownership and impact on one of the most strategic products at Glassdoor.

A typical week would comprise of prototyping models for matching job seekers with jobs, brainstorming product features, making sense of AB test results or analyzing user behavior to identify opportunities and features we should build next.

The ideal candidate will be extremely curious, have a strong scientific background in Machine Learning but is obsessed about results. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism and agility with quality.

In the first six months, you’ll work on problems such as:

  • How to model our job seekers & resumes on an n-dimensional attribute space?
  • How do we personalize job recommendations for each user using? Can we make them so amazing that even the most passive job seeker gets excited to engage with them
  • What are the core features we should build next based on how users are interacting with our product?
Qualification:
  • 3-5 years of quantitative experience with large data-sets, from prototyping to business impact
  • Deep understanding of machine learning and statistical methods with their underlying theory and math
  • Demonstrated work in building, deploying and demonstrating business value from predictive models and data products
  • Proficient in Python. C, C++, Java experience a plus
  • Experience with distributed machine learning frameworks, like Spark, etc.
  • Strong and persuasive communication skills
  • MS or PhD in a quantitative discipline Computer Science (with focus on Machine Learning, Artificial Intelligence), Statistics, Math, Neuroscience, Operations Research, Physics, etc.