-Understands complex and critical business problems from a variety of stakeholders and business functions, formulate 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 definition, 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. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. Job Description Position Title: Associate Director Data Science Location - Hyd-India #LI Hybrid Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various projects. Support and facilitate data enabled decision making internal customers using data analysis and data science techniques/methods on internal and external (3rd party) data to solve business problems Team NBS CONEXTS-I&CS business support in building capabilities by involving in various initiatives like knowledge sharing, on-boarding and training support, support in all business-related tasks/activities, building process documentation and knowledge repositories Your responsibilities include but are not limited to Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Resource Allocation and Optimization Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer satisfaction. Deliver advanced analytical and statistical solutions for various projects related to promotion evaluation, multi-channel marketing (MCM) campaign design, return on investment (value) analysis, resource allocation, segmentation, targeting, and other ad-hoc business questions Support exploratory research to identify new areas of application of advanced analytics/data science in providing improved decision-making support. Deliver services through structured project management approach with appropriate documentation and communication throughout the delivery of services. Automation of project codes and development of front-end delivery solutions. Support in creation and maintenance of standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs within the function. Support in developing and maintaining knowledge repositories that captures qualitative and quantitative reports of brands, disease areas, macroeconomic trends of Novartis operating markets, etc. Support team leaders in recruitment and on-boarding of new associates within the organization. Participate in various knowledge sharing sessions that enables growth and improves quality of NBS CONEXTS deliverables across the function. Align with all internal functional operating procedures like time tracking, critical metric tracking and reporting, and other internal systems and processes. Comply to all Novartis operating procedures as per legal/IT/HR requirements. What you ll bring to the role: Deriving impactful strategies by defining clear category objectives, working with analytical data, business partners and market expertise. Aligning strategies to measurable target and clearly conveying them to the organization. Should have strong quantitative and systems background. Strong analytical thinking with problem solving approach and good ability to understand new data sources in short timeframe and embed them into standard analyses. Good understanding of pharmaceutical domain and data would be ideal. Strong partner leadership skills and ability to work with multiple partners. Should have worked in an international/Global company with exposure to working in cross-cultural environment. Strong and proactive business results-focus, and proven track record to provide insights that increase efficiency. Hands on to Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting o Good to have: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization Hands on to Project Management, Solid understanding of MS-Office (MS Excel, VBA, PowerPoint, Access), Learning agility, pharmaceutical industry domain/datasets knowledge - desirable Desirable Requirements: University/Advanced degree in Statistics, Economics, Mathematics, Computer Science, Bioinformatics, Ops Research, is preferable. 10-12 years of relevant experience in Data Science. In case of PhD, 6 years post qualification experience. Experience in commercial pharma would be an added bonus. Extensive experience required in: Statistical and Machine Learning techniques like Regression (esp., GLM, non-linear, etc.), Classification (CART, RF, SVM, GBM, etc.) Clustering, Design of Experiments, Monte Carlo Simulations, Statistical Inference, Feature Engineering, Time Series Forecasting, Text Mining and Natural Language Processing Good to have skills: Stochastic models, Bayesian Models, Markov Chains, Dynamic Programming and Optimization techniques, Deep Learning techniques on structured and unstructured data, Recommender Systems (content and collaborative filtering), etc. Hands-On to Tools and Packages: SAS, R, Python, SQL. Exposure to dashboard or web-apps building using Qliksense, R-Shiny, Flask, etc. would be added advantage.
