Profile Details Purpose - Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. - High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact. Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. - If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers. Major Accountabilities - Innovate by transforming the way to solve a problem using Data Science and Artificial Intelligence. - Articulates solutions/recommendations to business users. Presents analytical content concisely and effectively to non-technical audiences and influences non-analytical business leaders to drive major strategic decisions basis analytical inputs - Coordinates, prioritize and efficiently allocates the team resources to criticalinitiatives: plans resources proactively, anticipates and actively manages change, sets stakeholder expectations as required, identifies operational risks and enable the team to drives issues to resolution, balances multiple priorities and minimizes surprise escalations - Collaborates with internal stakeholders, external partners and Institutions and cross-functional teams to solve critical business problems, propose operational efficiencies and innovative approaches. - Proactively evaluates the need of technology and novel scientific software, visualization tools and new approaches to computation to increase efficiency and quality of the company data sciences practices - Provides agile consulting, guidance and non-standard exploratory analysis for unplanned urgent problem - Independently identifies research articles and reproduce/apply methodology to company's business problems - Publishes in peer reviewed journals, helps organizing sessions at external professional conferences and contributes to cross-industry work streams in external relevant working group - Makes right choices from a breadth of tools, data sources and analytical techniques to answer a wide range of critical business questions - Ensures exemplary communication with all stakeholders including senior business leaders - Contribute to the development of Novartis data science capabilities. -May lead a Team/ Function or in -depth technical expertise in a scientific/technical field depending upon the career path (Manager/Individual contributor) Additional Specifications - Apply deep learning, transfer learning, graph modelling, computational linguistic, and other AI and natural language processing techniques to build applications to develop solutions and services to answer business questions in areas such as customer care, social media analytics, HCP profiling, AE monitoring, patient experience, Voice of customers, brand reputation, and legal and compliance, etc. - Innovate by using natural language processing analytics to increase efficiencies of existing business services - Design, prototype and scale real-world applications that intelligently extract understanding from text and/or audio sources /or video sources - Work with a diverse set of stakeholders, serving as a strategic partner to define high impact analytical problems and find innovative ways to solve these problems and enhance business value via data, NLP and experimentation Key Performance Indicators (KPIs) - Selection by program of recommended data science strategy - Achievement and governance endorsement of advanced analytics program tollgates - Successful implementation based on KPI's and advanced analytics program objectives Experiences - 15+ years of relevant experience in Data Science - Ability to work and lead (a cross-functional team) in a matrix environment - Interactions with senior management - Start-ups - Track record delivering global solutions at scale Technical / Functional Skills &amp; Knowledge - Big Data - Cognitive Computing &amp; Pattern Recognition - Data and Digital &gt; Data Science &amp; AI - Natural Language Processing

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Group Leader - Data Science/NLP - Consulting Firm 

Group Leader - Data Science/NLP - Consulting Firm  ,Job Description for Group Leader - Data Science/NLP - Consulting Firm  in Synerzie in  Any Location for (15-17) years of experience. Apply Now!

Job Description for Group Leader - Data Science/NLP - Consulting Firm  in Synerzie in  Any Location for (15-17) years of experience. Apply Now!