Lead Data Scientist Machine Learning

Data & Analytics Mill Valley, California


Description

While Glassdoor is known for its reviews and salaries content, the Machine Learning team takes this unique data-set and converts into delightful user experiences. This team has created several patent pending and innovative user products such as Salary Estimates on Jobs and Know Your Worth. As a Lead Data Scientist, you’ll continue to enhance and innovate on top of our comprehensive data about jobs and employers - from jobs listings and career transitions to reviews, salaries and interviews.

You’ll be part of a very strategic, fast-growing and rapidly innovating team within Glassdoor building our next generation product. You will help define the ML roadmap for Consumer Product as well as core machine learning services that support many groups and products across the company. A typical week would comprise of brainstorming with product on next gen features, prototyping and improving models (e.g. occupation classifier of unstructured text), and collaborating with engineers to deploy ML pipelines and products.

The ideal candidate will be extremely curious, and be able to build data-driven solutions based on deep understanding of business problems. You exercise very sound judgment and have the ability to balance sophistication with simplicity, scientific rigor with pragmatism and agility with quality.

Requirements

  • 4+ years of quantitative experience with large data-sets, from prototyping to business impact
  • Demonstrated work in building, deploying and creating business value from predictive models and data products
  • 1+ year of team management experience
  • Proficient in Python. Also, Java or other programming language experience would be valuable.
  • Deep understanding of machine learning and statistical modeling with their underlying theory and math
  • Experience with distributed machine learning frameworks, like Spark, etc.
  • Full stack experience in data collection, aggregation, analysis, visualization, productionalizing, and monitoring of data science products
  • Strong and persuasive communication skills
  • MS or PhD in a quantitative discipline like Computer Science (with focus on Machine Learning, Artificial Intelligence), Statistics, Math, Neuroscience, Operations Research, Physics, etc.

Why Glassdoor?

  • Work with purpose – join us in creating transparency for job seekers everywhere
  • Glassdoor gives back! Glassdoor is a Pledge 1% member; all employees receive 3 paid volunteer days per year
  • 100% company paid medical/dental/vision/life coverage; 85% dependent coverage
  • Equity in a late stage startup backed by top-tier VCs
  • Sunny & peaceful Mill Valley offices located right on the water
  • Walking, running and biking trails steps away from the office
  • Onsite gym and fitness classes
  • Free catered lunch; new menu daily
  • Paid holidays and flexible paid time off
  • Your choice between Mac or PC
  • Dog-friendly office (with dog-free zones if you are so inclined)
  • Free parking

Glassdoor is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Glassdoor is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.