Description du poste : Description de poste The Data Scientist Lead is responsible for the capabilities needed to operate a financial and business practice using advanced techniques to understand data and produce insights that are of value to Novartis.
The mission is to solve financial and business challenges applying Advanced Analytics and Data Modelling techniques on a variety of small, medium and big data.
The data scientist lead will drive the development and implementation of advanced forecasting techniques to support key financial processes such as budget, strategic planning, latest outlook.
The data scientist lead will develop methodologies to identify and quantify drivers that impact the financial performances.
The role encompasses the full lifecycle from ideation to requirements elicitation, design, implementation and rollout of the solutions.
It is expected for the Data Scientist Lead to drive proactively the interactions with internal stakeholders across different functions and departments at country, region and global levels, as well as external ones, such as consultants, universities, etc.
Your will be responsible for but not limited to : - Primarily responsible to lead and drive advanced analytics activities in finance, including explorative applications of machine learning, deep learning and artificial intelligence.
scale proof-of-concept stage to full production systems -Build knowledge artifacts of real business problems that were solved with advanced analytics techniques which can be published in journals.
Structure problem domain and drive / define data, process, functional, and architectural requirements. - Be ultimately accountable for the full lifecycle of the advanced analytics solution.
Ensure the selected data science approach can be engineered in an advanced analytics product. - Ensure projects that use external data science consultants or solution vendors are well managed by ongoing engagement.
Description du profil : Exigences minimales - University degree in Statistics, Operational Research, Computer Science or in a highly quantitative field.
2+ years in predictive modeling and large data analysis. - A track record of innovating through machine learning and statistical algorithms and their applications.
Expertise in at least a visualization tools Qlikview, Spotfire, Tableau for designing insights. - Expertise in working with data bases such as SQL.
Proven self-starter with experience in initiating and ensuring delivery.