Machine Learning Engineer

New York, NY, United States, Remote


Role Locations

  • New York, NY, United States
  • Remote


101 - 250 people


360 Madison Ave Fl 14
New York, NY, 10017-7173, US

Tech Stack

  • Java
  • Spring MVC
  • Hadoop
  • Jetty
  • Linux
  • Memcached
  • Redis
  • Cassandra
  • Git
  • Maven
  • TeamCity
  • Confluence
  • Crucible
  • Intellij
  • SQL
  • Python

Role Description

PulsePoint™, a global programmatic advertising platform with specialized healthcare expertise, fuses the science of programmatic targeting, distribution, and optimization with the art of brand engagement. The PulsePoint platform is powered by terabytes of impression-level data, allowing brands to efficiently engage the right audiences at scale while helping publishers increase yield through actionable insights.

Our organization has a strong history of utilizing machine learning, contextualization, and targeting to distribute advertising to the right consumers at the right time and create real connections across the internet. We are now taking that knowledge and expertise to solve challenges within healthcare in order to create better health outcomes through Radical Health Personalization™.

The goals of the PulsePoint Data Science team:

Optimize and validate targeting mechanisms for specific health conditions Improve and optimize our proprietary contextualization, and recommendation engines that handle hundreds of thousands of transactions per second, billions of times each month Collaborate with internal Health experts to ideate and support rapid assessment, analysis, and prototyping of ideas for achievable commercialization.

What you will be tasked to do:

Research and develop user profiling models to enhance our clinical trial recommendation engine to leverage both online and offline data. Collaborate with Product teams on data-driven products to support clinical trial platform design and delivery. Support and enhance the existing work on health user profiling, prediction, and targeting tools. Contribute on future project on patient/physician identity for cross-device tracking, profiling and targeting. Support existing codebases for data integration and production support for our core models.

What you need to be successful in this role:

3+ years of full-time experience working as a Statistician/ Machine Learning Engineer/ Data Scientist Advanced knowledge of Big Data technologies such as Hadoop, Hive, and Impala Advanced knowledge of Python using the numpy/scipy/pandas/skilearn stack MS/PhD in Astronomy, Physics, Applied Mathematics, Statistics, Machine Learning, Computer Science; or BS with several years of applied machine learning experience

About PulsePoint

PulsePoint is the leading global authority in programmatic technology,content marketing and health activation. We're disrupting health innovation by accelerating the discovery and activation of patients and providers - with precision - using data intelligence for positive real-world impact. With the most intelligent health centered view of the customer, PulsePoint has pioneered 'radical health personalization' enabling health organizations to quickly and efficiently provide their audiences with the health resources they need.

Company Culture

We are a team of passionate, smart, go-getters. We aren't afraid of getting messy, whether that means trying something new and failing, helping a teammate through a river of mud at Tough Mudder, or having chocolate all over your hands from s'mores at our company retreat. We value innovation, value creation and people that push themselves and their colleagues forward to get better. We are silly, loud and full of laughter, but we get shit done, and have a great time working together to make the world better.

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