Summary Understand complex and critical business problems formulates integrated analytical approach to mine data sources employ statistical methods and machine learning algorithms to contribute solving unmet medical needs discover actionable insights and automate process for reducing effort and time for repeated use To manage the implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment consumption retention and retirement enabling the availability of useful clean and accurate data throughout its usefull lifecycle High agility to be able to work across various business domains High agility to be able to work across various business domains Integrate business presentations smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact Independently manage budget ensuring appropriate staffing and coordinating projects within the area If managing a team empowers the team and provides guidance and coaching with initial guidance from more senior leaders supervised This is usually their first people manager experience About the Role Major accountabilities Project manage own tasks and works with allied team members plans proactively anticipates and actively manages change sets stakeholder expectations as required identifies operational risks and drives issues to resolution minimizes surprise escalations with initial support from supervisors -Collaborate with internal stakeholders external partners and cross-functional teams to solve critical business problems -Understand life science data sources including preclinical clinical sales contracting promotions social media patient claims and Real World Evidence -Research and co-develop with supervisor in data management new algorithms methods statistical models and business models and providing insight into structured and unstructured data -Quickly learn the use of tools data sources and analytical techniques needed to answer a wide range of critical business questions -Support the evaluation of the need of technology and novel scientific software visualization tools and new approaches to computation to increase efficiency and quality of the Novartis practices -Independently identifies research articles and propose them for application to Novartis business problems -Develop automation for data management repeatedly refreshing analysis and generating insights -Articulates solutions recommendations to business users Works with senior data science team member to present analytical content concisely and effectively -Ability to provide understandable and actionable business intelligence for key stakeholders -May lead a small team or in-depth technical expertise in a scientific technical field depending upon the career path Manager Individual contributor -Reporting of technical complaints adverse events special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples where applicable Key performance indicators Achievement and governance endorsement of data management advanced analytics program tollgates -Successful implementation based on KPI s and data management advanced analytics program objectives Minimum Requirements Work Experience In-depth mastery of external environment and trends 15 years of relevant experience in Data Science 2 years of relevant experience in Data Science Track record delivering global solutions at scale Has a solid professional network across Academia Skills Apache Hadoop Applied Mathematics Big Data Curiosity Data Governance Data Literacy Data Management Data Quality Data Science Data Strategy Data Visualization Deep Learning Machine Learning Ml Machine Learning Algorithms Master Data Management Proteomics Python Programming Language R Programming Language Statistical Modeling Languages English Why Novartis Helping people with disease and their families takes more than innovative science It takes a community of smart passionate people like you Collaborating supporting and inspiring each other Combining to achieve breakthroughs that change patients lives Ready to create a brighter future together https www novartis com about strategy people-and-culture Join our Novartis Network Not the right Novartis role for you Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up https talentnetwork novartis com network Benefits and Rewards Read our handbook to learn about all the ways we ll help you thrive personally and professionally https www novartis com careers benefits-rewards Division US Business Unit Universal Hierarchy Node Location India Site Hyderabad Office Company Legal Entity IN10 FCRS IN010 Novartis Healthcare Private Limited Functional Area Data and Digital Job Type Full time Employment Type Regular Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities If because of a medical condition or disability you need a reasonable accommodation for any part of the recruitment process or in order to perform the essential functions of a position please send an e-mail to email protected and let us know the nature of your request and your contact information Please include the job requisition number in your message Novartis is committed to building an outstanding inclusive work environment and diverse teams representative of the patients and communities we serve

📌 Manager, Data Science (Telangana)
🏢 Novartis
📍 Telangana