Associate Director Data Science

Job Description

Your responsibilities include, but are not limited to: Engineer key analytical insights into simple, intuitive, and well-designed tools and services tailored for each role and process; Provide solutions for a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response, Optimization Collaborates with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems, drive operational efficiencies, and deliver successfully on high visibility strategic initiatives Interact with domain experts to understand the data and the business challenges and design solutions to the challenges using data. Ability to translate business questions into analytical problems and build solutions using visualization techniques, machine learning, statistical modeling and ensure it is robust, scalable solution is developed. Independently manage small to medium projects. Ability to provide understandable and actionable business intelligence for key stakeholders; Working with the internal process experts and key stakeholders in providing analysis and interpretation of Safety/PV data. Is responsible in creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business s performance by enabling informed decision making. Collaborate with partners in IT and GDD functions to improve the availability of data (near-real time data flows) and data quality as required for high quality, innovative, analytical/ technical solutions. Bring in efficiency with innovative solutions; effective usage of new technologies and concepts; developing new analysis opportunities by integrating existing and new data sources. Minimum requirements PhD/Masters/Bachelor s Degree in Statistics, Mathematics, Oper-ations Research, Engineering (Biotech, Computer Science, Information Technology), Pharmaceutical, Life Science or similar field, MBA from reputed institutes. 10-15 years of experience in Data Science related fields with specific experience of producing Key Performance Indicators or similar monthly reports for Senior Management and building statistical models for addressing business is-sues; 1-3 years of Pharma, CRO, Life Science experience would be preferred. Expertise in at least 1 of Statistical modelling, Machine learning(like Regression (Linear/Logit/Gamma), Clustering (K-Means/Modes/Hier), Decision Trees, Text Mining and Natural Language Processing, Stochastic models, Bayesian Models, Markov Chains, Monte Carlo Simulations, Non-linear Time Series, Dynamic Programming and Optimization techniques Design of Experiments, Neural Networks, Statistical Inference, Collaborative Filtering, Feature Engineering, etc), Big data or Technology solution development, along with Pharmacovigilance/Clinical operations domain expertice. Advance level skills in atleast 2 of: Python/SAS/R/SQL/Excel/VBA/SPSS,Matlab and working knowledge in others - ability to write and understand queries and extract complex datasets and produce reports from Databases (including Oracle, SAS, non-relational databases) Extensive experience in working with large-scale datasets (in big data architecture, data lake, data mart, data warehouse). Understanding of Safety data, Clinical Development, Clinical Trial and Database Management systems and Operational process and regulatory requirements is preferred; Understanding trends in big data , global clinical development, including key competitors Experience in Big Data platforms like Hadoop eco-system (i.e. Hive, Pig, Sqoop, Mahout), other large scale computing systems (e.g. COSMOS, MapReduce) or modern coding languages (e.g. Java, Python, Scala, AzureML, Shiny); Experience in advanced visualization tools like Tableau, QlikView, Spotfire, ChartIO 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. We are Novartis. Join us and help us reimagine medicine. Novartis are an equal opportunities employer and welcome applications from all suitably qualified persons.,

Keyskills :
financeadvisorycompliancereportingcustomer relationsdesign of experimentskey performance indicatorsnatural language processingtechnology solution developmentbig datatext miningtime seriesmonte carlo