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About PulsePoint:
PulsePoint is a fast-growing healthcare technology company (with adtech roots) using real-time data to transform healthcare. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. Our award-winning advertising platforms use machine learning and programmatic automation to seamlessly activate this data, making marketing, predictive analytics, and decision support easy and instantaneous.
Description
Our Data & Analytics team is at the very heart of what makes PulsePoint an innovative, fast-paced, and market-changing company.
Our path forward is through data and this team is in the driver's seat for the journey.
The Big Picture:
You will build, deliver & continually innovate on PulsePoint's insightful reporting and data-driven solutions. Your efforts help alleviate friction points and streamline processes that enable internal teams to provide exceptional service, powering the decisions of our customers.
In short, you will be the conduit through which we will revolutionize health decisions through real-time data.
As a Sr. Data Scientist, R&D, you will use your data science and stats expertise to contribute to R&D projects for DTC, new Data Products, and Bespoke Segments expansion.
Specifically, here are some things we'll want you to get done:
Requirements
What are the must haves we're looking for
What other things would get us excited about you:
Watch this video here to learn more about our culture and get a sense of what it's like to work at PulsePoint!
What are red flags for us:
Candidates won't succeed here if they haven't worked closely with data sets or have simply translated requirements created by others into SQL without a deeper understanding of how the data impacts our business and, in turn, our clients success metrics.
Selection Process:
1) Online SQL Test (40 mins)
2) Initial Screen (30 mins)
3) Hiring Manager Interview (45 mins)
4) 1:1s w/ SVP of Data and Sr. Director of Analytics (30 mins each)
5) Video call w/ Sr. Data Scientist (30 mins)
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Date Posted: 20/10/2024
Job ID: 97100083