Manager Data Science

• Delivering projects and leading internal customer expectations across multi-channel marketing analytics, Portfolio Analytics, Targeting and Segmentation, Predictive Analytics, Prioritisation and Optimization
• Build and deliver customer requirements as per agreed SLAs (timeliness, accuracy, quality, etc.) and drive excellent customer happiness. Deliver sophisticated 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 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.
• Min 6+ years of hands-on experience in analytics in marketing analytics and experience in pharma industry is preferable. Statistical Modeling/Machine Learning techniques like Regression (esp, GLM, non-linear, etc.). experience in any one of R or Python and exposure to SAS and SQL. Familiarity with Alteryx will be a bonus. Visualization tools - Qlikview, Qliksense, Tableau.