Sr. data scientist, r&d

Web MD 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 Pulse Point:Pulse Point 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.DescriptionOur Data & Analytics team is at the very heart of what makes Pulse Point 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 Pulse Point'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:Data science & stats-related projectsWork on R&D projects for DTCHelp build new Data ProductsContribute to Bespoke Segments expansionHelp us design and define the methodology for our measurement products and user identificationContinuously improve the quality of HCP onboarding/Targeting/measurementAudience IQ/DTC product development, Identity graph/Data IQCollaborate with internal teams to delight our customers with timely and accurate data reporting that meets all requirements;Research & implement new data products or capabilitiesAutomate data visualization and reporting capabilities that empower users (both internal and external) to access data on their own thereby improving quality, accuracy, and speedSynthesize 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 wayEvaluate and approve additional data partners or data assets to be utilized for identity resolution, targeting, or measurementEnhance Pulse Point's data reporting and insights generation capability by publishing internal reports about Health dataAct as the “Subject Matter Expert” to help internal teams understand the capabilities of our platforms, how to implement & troubleshootRequirementsRequired qualifications:4-5+ 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 & manipulationPythonAt least a Bachelor’s degree in Business Intelligence and Analytics or closely related fieldKnowledge of Distributed Systems. Py Spark, for large-scale data processing.Experience with Containerization (Docker) and KubernetesProven experience of experimentation methods and Stats modeling in support of product development and optimizationWilling and able to work 3:30pm-12:30am IST, you can work fully remotelyPreferred qualifications:And one of:ELT experienceTableau/Looker/Power BIExperience with automationAble to organize large data sets to answer critical questions, extrapolate trends, and tell a storyExperience in Programmatic/AdtechFamiliarity with health-related data setsGoogle Cloud ArchitectureWhat 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 metricsSelection Process:1) Online SQL Test (35 mins)2) Initial Screen (30 mins)3) Hiring Manager Interview (30 mins)4) Data Science Manager Interview (30 mins)5) Interview with Sr. Data Scientists (30 mins)6) Interview with SVP of Data (30 mins)