Summary
About the Role
Major accountabilities:
- Translate business questions into analytical problems and build solutions using visualization techniques, machine and deep learning, and statistical modeling.
- Search and develop data management techniques, new algorithms, methods, statistical models and business models, providing insight into structured and unstructured data.
- Quickly learns and pilots the use of tools, data sources and analytical techniques needed to answer wide range of critical business questions and to improve status quo
- Identifies research articles and reproduce /apply innovative methodology to Novartis business problems
- Provide understandable and actionable business intelligence for key stakeholders.
- Brings understanding of one or more areas of data sciences and is able to demonstrate practical knowledge of techniques
- Helps developing new quantitative methods with the aim of improving processes in various projects and developing new analysis opportunities by integrating existing and new data sources -Support various projects, of limited scope.
- Executes 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 client's 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 Sr. Data Scientists to implement innovative and effective approaches to solve client's analytics problems and 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
- Work closely with stakeholders to understand their requirements and priorities and translate them into actionable analytics and improvement initiatives.
- Lead business and technology consulting projects to create impact for the organization.
- Develop meaningful metrics and key performance indicators (KPIs) to measure and monitor Supply Chain performance.
- Actively participate in initiatives aimed at improving production efficiency, reducing costs, and driving operational excellence.
- Take ownership of improving client experience for applicable analytics solutions by regular stakeholder connect, collecting feedbacks and managing expectations
Minimum Requirements:
Work Experience:
- 8-10 years of relevant experience in Advanced Analytics and Data Science.
- Has a strong professional network across Academia.
- In-depth mastery of external environment and trends.
- Track record delivering global solutions at scale.
Skills:
- Data Management including databases SQL.
- Expert level in Python.
- Predictive Modelling.
- AWS, Azure for ML/AI applications
- Machine Learning & Deep Learning.
- Big Data
- Applied Mathematics.
- Information & Decision Theories.
- Data Visualization PowerBI
- Business Consulting
- Analytics Translator
- Stakeholder management
- Root Cause Analysis and Problem-Solving.
- Project Management.
- Collaborating across boundaries.
- Supply-Chain Management.
Languages :
- English.
Education & Qualification
- Graduate / Post Graduate in Engineering, Mathematics, Statistics, Operations management, Business management
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
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