High Salary

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 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 Data science stats-related projects Work on R D projects for DTC Help build new Data Products Contribute to Bespoke Segments expansion Help us design and define the methodology for our measurement products and user identification Continuously improve the 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 that meets all requirements Research implement new data products or capabilities Automate data visualization and reporting capabilities that empower users both internal and external to access data on their own thereby improving quality accuracy and speed 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 Enhance PulsePoint s data reporting and insights generation capability by publishing internal reports about Health data Act as the Subject Matter Expert to help internal teams understand the capabilities of our platforms how to implement troubleshoot Requirements Required 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 manipulation Python At least a Bachelor s degree in Business Intelligence and Analytics or closely related field Knowledge of Distributed Systems PySpark for large-scale data processing Experience with Containerization Docker and Kubernetes Proven experience of experimentation methods and Stats modeling in support of product development and optimization Willing and able to work 3 30pm-12 30am IST you can work fully remotely Preferred qualifications And one of ELT experience Tableau Looker PowerBI Experience with automation 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 Google Cloud Architecture Watch this video 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