Expert Data Science

Supports in building of analytical solutions to support the Novartis internal customers on various business initiatives.
Work with Sr. Data Scientist /Business lead to solve analytics problems and documents results and methodologies

About the Role

Supports the data related activities like Data acquisition, Data transformation, Data integration, Data discovery and summary of data formats, etc Helps team to wrangle data for analysis, following data wrangling principals Actively works on the delivery of analytical deliverables Tests the experimental design approaches to validate finding or test hypotheses. Supports sr. data scientist to develop innovative and effective approaches to solve clients analytics problems and communicates results and methodologies. Conducts advanced data analysis and moderately complex designs algorithm Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. Supports Building powerful visualizations to convey the insights derived from the data Works on moderately complex & cross functional data science / analytics solutions Aligns with the work plans timelines to meet time frames Supports to design experiments, test hypotheses, and build models Follows the given experimental design approaches to validate finding or test hypotheses. Efficiently channelize the ad-hoc issues in demand flows and supports Sr. data scientist to troubleshoot them Supports Sr. Data Scientists to implement innovative and effective approaches to solve clients analytics problems Follows standard operating procedures (SOPs) Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes

• Speed of delivery & quality of deliverables Complexity of projects Standardization of processes Innovation & new technology adoption Agile practices for productivity Technical & functional mentoring

• Experience (4-7 years) preferred in business analytics or data science Awareness of the project site work streams like Quality Risk Management, demand management, forecasting, supply chain analytics and global supportive activities Exposure & experience in Statistical techniques, machine learning, NLP,etc
• Some understanding of supply chain/ Manufacturing / quality and associated areas Experience in Data Wrangling & Statistical / ML application using R or Python Expertise in building powerful visualizations using Tableau / Qliksense / R shiny, etc Able to work in Agile environment Strong quality & compliance mindset Ability to manage substantial volumes of data Good communication/ collaboration/ storytelling skills Action-oriented approach Excellent analytical skills

• English.