Manager Data Science

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