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Staff Data Scientist 1362 views

Iterable is the growth marketing platform that enables brands to create, execute and optimize campaigns to power world-class customer engagement across email, push, SMS, in-app and more with unparalleled data flexibility. We are an integrated, cross-channel solution — Iterable is built for marketers, trusted by engineers, and designed with intelligence. We know this space well: our product team built the growth systems that powered Twitter’s early success. We’ve raised over $30M from investors like Index Ventures and CRV and hundreds of companies like Zillow, DoorDash, and Box rely on us to captivate their many millions of users.

It’s a very exciting time to join the team as Iterable has recently been recognized as one of 2018’s Best Places to Work, we’ve been in the top 20 companies on the SaaS 1000, and held our first customer conference which was a sell-out success. We are excited to open our third office in the US – San Francisco, New York, and now Denver. We are open to hiring anywhere in the U.S. for this role.


The Role

We serve large and small companies spanning many different industries and have the opportunity to analyze large and diverse data sets. You will be leading data science projects to  launch new machine learning products and improve the predictive features in our core platform.


Position Details:

  • Research, evaluate, train and tune advanced machine learning models
  • Mentor ML engineers on data science, especially in the deep learning space
  • Work closely with the ML engineers to improve our machine learning platform


The Ideal Candidate Will Be/Have:

  • Masters or PhD in CS, Math, Physics or similar engineering/science discipline
  • Extensive experience with multiple ML applications, especially recommender systems
  • Expertise with data exploration, visualization and unsupervised learning techniques
  • Experience with building end-to-end machine learning systems in production
  • Comfort with modern Deep learning frameworks and the Python data science ecosystem
  • Experience with large scale data and commercial ML platforms


Perks & Benefits:

  • Competitive salaries, meaningful equity, & 401(k) plan
  • Medical, dental, vision & life insurance
  • Unlimited PTO, great work/life balance, and fantastic location
  • Catered lunches delivered to the office daily + unlimited snacks/beverages
  • Monthly Employee Wellness Allowance
  • Professional Development Allowance of $300/quarter
  • Pre-tax commuter benefits

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