Data Science Engineer

Silicon Valley (Redwood City to San Jose) • $140k - $200k


Role Location

  • Silicon Valley (Redwood City to San Jose)


$140k - $200k


26 - 50 people


75 E Santa Clara St # 6
San Jose, CA, 95113-1827, US

Tech Stack

  • Go
  • Python
  • Hadoop
  • Apache Spark
  • Tensorflow
  • Keras
  • JavaScript
  • TypeScript
  • CSS
  • HTML

Role Description

Develop behavioral models for billions of mobile users. Create predictive models for user revenue. Explore new approaches to improving predictive power. These models will be deployed into production and directly control spend. This role has enormous impact. The models we build are extreme and we go to great lengths to get a little extra performance. We are looking for the kind of person who wins Kaggle contests, not the kind of person who builds a model that is good enough. Experience with both supervised and unsupervised learning, large data sets, multiple modeling approaches and domains are a plus. You will work on a team with industry veterans.

About ScaleMonk

ScaleMonk helps mobile-first companies scale distribution while maintaining a target return. By collecting post-install data from its clients, ScaleMonk is able to optimize in real-time the ad spend that goes to different campaigns across hundreds of mobile advertising channels.

Company Culture

Teamwork: We work together as a team and the team succeeds together. Building anything of meaningful scale is a team sport. We only succeed if we have the same goal and work together to reach that goal

Reward and Recognition: The members of the team have an impact. Your accomplishments will be noticed and appreciated.

Customer Focus: We succeed by providing value to our customers. Results matter. We execute better and provide better value than our competitors.

Simplicity and Elegance: Good solutions are no more complicated than they need to be. At Scalemonk, we find the right tool for the job and are always looking for a better solution

Interested in this role?
Skip straight to final-round interviews by applying through Triplebyte.