Data Scientist, Analytics R&D (Audience Lab)

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 seat for the journey.The Big Picture:You will build, deliver & continually innovate on PulsePoint's insightful 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.As a Data Scientist, you will be given a large data set, query the data, explore the data, and come up with solutions (build models, ML, etc). In short, you will be the conduit through which we will revolutionize health decisions through real-time data.Specifically, here are some things we’ll want you to get done:

1. Data science & stats-related projects
2. Help us design and define the methodology for our measurement products and user identification
3. Continuously improve quality of HCP onboarding/Targeting/measurement 
4. Audience IQ/DTC product development, Identity graph/Data IQ
5. Research & implement new data products or capabilities
6. Synthesize raw data into actionable insights to drive business results, identify key trends and opportunities for business teams and report the findings in a simple, compelling way
7. Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting, or measurement
8. Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot

Requirements

Required qualifications: 

• 2-3 years of relevant experience in:
• Creating SQL queries from scratch using real business data;
• Data analysis & manipulation
• Strong stats background and statistical modeling experience
• Python

Preferred qualifications:

• Able to organize large data sets to answer critical questions, extrapolate trends, and tell a story
• Experience in Programmatic/Adtech
• Familiarity with health-related data sets
• Project Management skills

Watch this video here to learn more about our culture and get a sense of what it’s like to work at PulsePoint!Location:Anywhere in the U.S. We are open to remote workWhat 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.Target Salary Range: $75-90k base + $7.5-9k target annual bonus based on company and individual performance

What we’ll give to you:

• Comprehensive healthcare with medical, dental, and vision options, and 100%-paid life & disability insurance
• 401(k) Match
• Generous paid vacation and sick time
• Paid parental leave & adoption assistance
• Annual tuition assistance
• Better Yourself Wellness program
• Group volunteer opportunities and fun events
• A referral bonus program -- we love hiring referrals here at PulsePoint

And there’s a lot more!Selection Process:

1. SQL test (40 mins)
2. Intro call (15 mins)
3. Hiring manager call (30 mins)
4. Call with Manager, Data Science (30 mins)
5. Calls with SVP of Analytics and VP of Analytics (30 mins each)

WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law