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Job Overview

Functional Area


Work preferred

Work from Office


Min Experience

10 Years

Max Experience

12 Years


Please apply here if youre interested:

Due to the high volume of applications, we might not be able to respond to all outreach on LinkedIn but your application will be reviewed and replied to if you apply through the link above

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.

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.


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 PulsePoints 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.

As a Data Scientist, you will be given a large data set, query the data, explore the data, and come up with solutions.

In short, you will be the conduit through which we will revolutionize health decisions through real time data.

Specifically, here’s some things we’ll want you to get done:

  • Data science & stats-related projects
  • Help us design and define the methodology for our measurement products and user identification
  • Continuously improve quality of HCP onboarding/Targeting/measurement
  • Audience IQ/DTC product development, Identity graph/Data IQ
  • Collaborate with internal teams to delight our customers with timely and accurate data reporting which meets all requirements;
  • Research & implement new data products or capabilities
  • 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
  • Evaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting or measurement
  • Act as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshoot


What are the ‘must haves’ we’re looking for?

  • 3-5+ years of relevant experience in:
  • Creating SQL queries from scratch using real business data;
  • Highly proficient knowledge of Excel (pivot tables, VLOOKUP, formulas, functions)
  • Data analysis & manipulation
  • At least a Bachelor’s degree in Business Intelligence and Analytics or closely related field
  • Strong stats background and statistical modeling experience
  • Python
  • Willing and able to work 3:30pm-12:30am IST, you can work fully remotely
  • Adtech or health experience

What other things would get us excited about you:

  • One of:
  • ELT experience
  • Tableau/Looker/PowerBI
  • Experience with automation
  • Stats background
  • 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!

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


AdvertisingAnalyticsAutomationBusiness IntelligenceExcelMachine LearningPredictive AnalyticsProduct DevelopmentQualityReportingSqlStatistical Modeling