Sr. Data Scientist

When the world throws technology challenges at us, we eat them up. And then we ask for more. Welcome to life on the technology team. Here, you'll work on our scalable, evolving platform, face tremendous software challenges, and work on projects for Fortune 100 clients. You'll be part of a fiercely collaborative technology team charged with creating digital solutions that are transforming the way employers and job seekers connect. Developing next-generation applications and products for some of the most recognized brands in the world. And actively supporting our diverse suite of best-in-class technologies. All this in an environment that constantly challenges you to push beyond boundaries and enhance your expertise-with the support of a global team of industry experts. Sound like a fit for your talent and passion?

What does a Sr. Data Scientist do?

We run hundreds of thousands of campaigns generating millions of clicks each month. The Data Science team for advertising has expertise in optimization, regression, classification, and NLP principles to develop world class strategies for performance advertising that yield the most important results for our customers: hiring the best employees.

Requirements:

• Deep understanding of statistical and machine learning models (logistic regression, decision trees, SVMs, etc.) and clustering and classification techniques
• Proven experience building models and placing models into production
• Experience in optimization problems, and solving those problems at scale
• Well versed in statistical programming languages such as R, Python
• Familiarity with relational databases such as Postgres and Amazon Redshift, and accessing data via SQL
• Degree in a technical field such as computer science, artificial intelligence, engineering
• Graduate work in machine learning a plus, or relevant work experience
• Experience in "Ad Tech" data science principles a huge plus
• Data driven leader, ready to provide technical direction to a team from Day 1
• Knows and loves the startup world - quick thinking and acting with minimal/no supervision
• Self-driven, independent, creative and eager to learn new skills
• Ability to work effectively with incomplete information
• Great communication skills
• Embraces the remote nature of the future of work