Data Scientist
Key Responsibilities :
- Categorise in headlines the key responsibilities that demonstrates the variety of roles that the organisation expects the position to fulfil
- Support, drive and develop data science solutions that can give new business insights impacting quality performance across Novo Nordisk
- Develop data structure, identify sources and secure data quality in the quality organisation and quality processes in cooperation with the NNQBI team
- Provide expert level Data Science and Data Analytics consultancy for the organisation (CVP area, Digital Quality and others)
- Provide inputs and support execution of strategy for Digital Quality.
Main job tasks :
- For each headline indicated above the job tasks should be described in more detail
- In general perceived as a role model throughout the organisation and recognized as an expert within field of expertise.
- Support, drive and develop Data science solutions that can give new business insights impacting quality performance across Novo Nordisk
- Develop Artificial Intelligence solutions such as natural language processing, Machine Learning applications to maximize utilization of data that drives continuous optimization of the Novo Nordisk quality performance.
- Analyse quality data and pilot/develop application to explore and Applies subject matter knowledge to solve common business issues. Later scaling to more areas or integrate in other systems.
- Help identify areas or processes where Artificial Intelligence solutions can create business value.
- Develop and maintain an IT platform to support data analysis and development and operationalization of data science solutions.
- Develop and maintain data structure, identify data sources and secure data quality in the quality organisation and quality processes
- Understand and design data structure in collaboration with process experts and data owners
- Identify unexploited data sources and include them in structure if relevant
- Investigate data quality and clean data where necessary
- Decide on which tools to use and explore
- Cooperate effectively with other data scientists in department (and adjacent areas)
- Provide Data Analytics consultancy for the organisation (CVP area, Digital Quality and others)
- Hereunder also drive the mindset of using data for decision making and teaching techniques to colleagues at all levels across the organisation
- Communicate effectively to colleagues with other backgrounds
- Provide inputs and support execution of strategy for Digital Quality
- Provide analysis and input on where to go with data science and what technology to use
Scope of Authority :
- Act as professional sparring partner for Manager/Director or CVP on data science matters.
- Planning and prioritize tasks within own area of responsibility.
Other areas of responsibility : Responsibilities as described in department responsibility split.
Communication and Stakeholder Interaction :
Key Stakeholders Type of Communication :
Internal stakeholders :
- Own department, CVP areas and SVP area
- Relevant internal stakeholders in CMC Development, PS and NNQ
- Product Supply
- Global IT
- Other NN digital organisations
- High degree of excellent stakeholder management skills is required
- Main communication is through meetings, teleconferences and mail correspondence.
- Translation of highly scientific complex content into clear and simple communication for management teams and project management groups
- Negotiation, collaboration and ability to provide convincing arguments within subject matter expert area across the functional area - also where there might be disagreements and ensure progress.
External Stakeholders :
- Occasionally negotiation with external parties
- Always represents NN the best possibly way with high professionalism and integrity when interacting with external stakeholders
Innovation and change :
- Mostly works independently, however may need occasional guidance from senior specialist on complex issues/challenges.
- Shares ideas and perspectives that add value, strive for simple solutions to complex challenges, challenge existing knowledge. Optimise existing technology and show problem solving attitude.
- Implementing changes can be across several CVP/SVP areas. It is required to have a flexible attitude and be able to cooperate with and motivate people with different background, nationality and personality in an enthusiastic way.
Geographic responsibility :
- Establish international visibility and interaction with the business globally.
- As an area specialist often included in cross-functional projects and/or often requirement to work internationally.
Knowledge, skills and experience : Minimum knowledge required to fulfil job responsibilities (not actual CV from candidate/employee)
Education :
Within relevant field of expertise :
- Masters with min 3 years relevant experience
- Bachelor with min 5 years relevant experience
Experience :
- Strong knowledge within field of expertise and broader business understanding across SVP area or in general pharma value chain
- Experience in supporting scientific projects/tasks and realizing their business value
Personal skills :
Provides professional direction :
- Scientific sparring partner to management
- Express ideas and knowledge effectively
Thinks above and beyond own area :
- Challenge and improve our processes based on value chain understanding
Leads the way :
- Influence others to help achieving organisational objectives
- Take co-responsibility for employee development and knowledge sharing
- Provide valuable feedback
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