Sr. Data Scientist, R&D

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 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 Sr. 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). You can work fully remotely in India, and we will provide you with a company-issued laptop. This is a FTE role. 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 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 Requirements Required qualifications: 4-5+ years of relevant experience in data science Proven experience of experimentation methods and statistical modeling in support of product development and optimization Working Knowledge of Distributed Systems and Cluster computing frameworks like Apache Spark, for large-scale data processing and machine learning with PySpark ML Ability to write robust, modular, production-ready code in Python and SQL, following best practices in OOP, version control (Git), and software design principles Experience collaborating with other data scientists to design and productionize ML models and integrate them into end-to-end data systems Experience building tools, frameworks and ETL/ELT pipelines to enable efficient data access, processing, and model deployment Willing and able to work 2:30pm-11:30pm IST, you can work fully remotely 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 to learn more about our culture and get a sense of what it’s like to work at PulsePoint Comp Structure & Benefits: Comp structure: 24-40 LPA fixed (inclusive of PF, Gratuity, and a 25k INR medical premium) + a target annual bonus that is approximately 5% of the gross annual earnings. Note that we don’t offer stock options. Time Off: 21 PTOs + 9 company-wide holidays + 1 flexible holiday Health Insurance Policy (Self & Family): Every employee and their immediate family are covered under Health Insurance Policy worth INR. 500,000 Term Life Insurance & Personal Accidental Insurance : Every employee is covered under Term Life Insurance and Personal Accident Insurance Policy worth INR. 25,00,000/- each 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 : Please check for the updated process outlined in our job posting on our careers site