Data Scientist - Full-time or Consultant
ABOUT EMBARKEEmbarke performs behavioral analysis on email users to help marketers communicate with them more effectively. We process over 25 million emails per month and are collecting terabytes of data. Our analysis is increasing opens and clicks by 5-20%...automatically.Ultimately, we don't just give marketers more clicks and revenue. We help them to give their customers content they care about which decreases the likelihood that they will delete or mark the message as spam.We’re TechStars + Microsoft Accelerator graduates, we’re funded, have great benefits, a kegerator, and a 5000 sqft collaborative work environment with 10th story views of downtown San Diego.We want an extraordinary Data Scientist to take our analysis to the next level. Are you up to the challenge?ABOUT THE ROLEOur customers are email marketers with more than 100,000 users and our biggest customers have over a million users. Our product collects behavioral data on each of those users and optimizes the emails they receive based on a variety of factors. We need a data scientist to make and test new predictive models for this data. You should be comfortable wrangling large amounts of data as well slinging code for the analysis. You can use any tools and techniques that you prefer, as long as they are effective.We have a small but extremely impactful team. We solve problems aggressively, learn a ton along the way and have a lot of fun doing it. We also use Lean Startup principles and have a flat structure—everyone is an owner.We need someone who will:Build new predictive models based on user behavioral data and enhance the models we have. Any technique OK!Test models, get feedback, and adjust them.Prove that what you figure out with your models is better than what we are doing now.Recommend new data sources for our models and methods to collect it.Build something that will change the landscape of the email marketing industry.Participate in the business and aggressively solve problems.
Title: Data Scientist - Full-time or Consultant
Salary: None
Description: ABOUT EMBARKEEmbarke performs behavioral analysis on email users to help marketers communicate with them more effectively. We process over 25 million emails per month and are collecting terabytes of data. Our analysis is increasing opens and clicks by 5-20%...automatically.Ultimately, we don't just give marketers more clicks and revenue. We help them to give their customers content they care about which decreases the likelihood that they will delete or mark the message as spam.We’re TechStars + Microsoft Accelerator graduates, we’re funded, have great benefits, a kegerator, and a 5000 sqft collaborative work environment with 10th story views of downtown San Diego.We want an extraordinary Data Scientist to take our analysis to the next level. Are you up to the challenge?ABOUT THE ROLEOur customers are email marketers with more than 100,000 users and our biggest customers have over a million users. Our product collects behavioral data on each of those users and optimizes the emails they receive based on a variety of factors. We need a data scientist to make and test new predictive models for this data. You should be comfortable wrangling large amounts of data as well slinging code for the analysis. You can use any tools and techniques that you prefer, as long as they are effective.We have a small but extremely impactful team. We solve problems aggressively, learn a ton along the way and have a lot of fun doing it. We also use Lean Startup principles and have a flat structure—everyone is an owner.We need someone who will:Build new predictive models based on user behavioral data and enhance the models we have. Any technique OK!Test models, get feedback, and adjust them.Prove that what you figure out with your models is better than what we are doing now.Recommend new data sources for our models and methods to collect it.Build something that will change the landscape of the email marketing industry.Participate in the business and aggressively solve problems.
Requirements: None experience, None education
Fraudulent: No