Senior Expert Data Science

Job Description

28,000 associates of more than 100 nationalities deliver high quality and affordable medicine on time, every time, safely and efficiently. POSITION PURPOSE:Understand sophisticated 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 impactful insights and automate process for reducing effort and time for repeated use.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. YOUR KEY RESPONSIBILITIES:Your responsibilities include, but not limited to:1. Project manage own tasks and works with allied team members; plans proactively, anticipates and actively leads change, sets partner expectations as required, identifies operational risks and drives issues to resolution, minimizes surprise customer concerns, with initial support from supervisors.2. Collaborate with internal stakeholders, external partners and cross -functional teams to solve critical business problems.3. 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 new algorithms, methods, statistical models and business models and providing insight into structured and unstructured data.4. Quickly learn the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions. 5. 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. 6. Independently identifies research articles and propose them for application to Novartis business problems. Develop automation for 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. 7. Ability to provide understandable and impactful business intelligence for key partners. May lead a small team or in-depth technical expertise in a scientific/technical field de -pending upon the career path (Manager/Individual contributor).Minimum requirements WHAT YOU LL BRING TO THE ROLE:1. Masters / PG in mathematics, statistics, Economics or computer science or related field; PHD degree preferred with min 10+ yrs proven experience in Data Science / Advanced analytics.2. Has a strong professional network across Academia In-depth proficiency in external environment and trends of proven experience in Data Science Track record delivering global solutions at scale Information & Decision Theories Data Visualisation Machine Learning & Deep Learning Big Data Applied Mathematics Predictive Modelling Data Management.3. Leveraging digital technology / big data, Strong negotiation and analytical skills ability to work and lead (a cross-functional team) in a matrix environment. Why consider Novartis 799 million. That s how many lives our products touch. And while we re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people s lives We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you re given opportunities to explore the power of digital and data. Where you re empowered to risk failure by taking smart risks, and where you re surrounded by people who share your determination to tackle the world s toughest medical challenges. Imagine what you could do at Novartis! COMMITMENT TO DIVERSITY & INCLUSION:Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network,

Keyskills :
automationdata managementprocess engineeringproject managementteam managementbig datasocial mediadata sciencedeep learningcomputer sciencemachine learninganalytical skillsapplied mathematics