Data Scientist II

Are you motivated by driving innovation for the life-changing benefit of patients? Are you ready to help transform the treatment paradigm for a broad range of chronic diseases that currently rely on injection-based therapies? Then this is your moment. Apply now and join  Novo Nordisk. Together we can create life-changing innovation. Together we can make it happen.

The position

• Design and develop advanced AI and ML algorithms:

• Create and refine machine learning models, including classification, regression, clustering, NLP, and computer vision techniques.
• Apply advanced statistical methods and programming to solve complex data challenges. Data products delivery:
• Participate in solution design stage with team, influence data architecture, framework and solutions developing in line with STJ vision of ‘digital factory’.
• Develop and refine advanced AI/ML algorithms to analyze multimodal data, driving novel insights and predictions.

• Implement and optimize feature engineering pipelines:

• Develop robust pipelines to preprocess and transform structured and unstructured data.
• Design scalable feature engineering pipelines and leverage cloud computing to optimize data processing workflows.
• Ensure data quality and relevance for model training and evaluation.

• Leverage cloud computing for scalable data processing:

• Utilize cloud platforms to manage large-scale data processing and model deployment.
• Ensure efficient use of cloud resources for cost-effective solutions.

• Communicate scientific findings effectively to stakeholders:

• Present insights, predictions, and recommendations in a clear and actionable manner.
• Tailor communication to both technical and non-technical audiences.

• Collaborate with cross-functional teams to deliver AI-driven solutions:

• Work closely with domain experts, data engineers, and business stakeholders.
• Align AI initiatives with organizational goals and project requirements.

Qualifications

• Master's or PhD’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
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• Extensive knowledge of data science, mathematics and statistics
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• Excellent command of spoken and written English
• Minimum 5 years of experience in AI/ML/DL. In-depth knowledge of various classic statistical learning algorithms, neuro network, transformer-based models, and their applicability in different contexts.
• Proven expertise in any of the following areas, and with in-depth scientific understanding and experience of building related application from 0-1:
• Ability to customize, modify and improve existing ML/DL algorithms, and rich experience in finetuning, performance uplift, and monitoring both online and offline.
• Proficiency in mainstream ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and advanced programming languages (e.g., Python, Java, node, etc.).
• Proven expertise in in-depth data analysis, experiment design, and feature engineering.
• Proven in-depth knowledge and experience in manipulating complex, large and distribute datasets, developing appropriate data services and applications to serve business better.
• Rich experience in leveraging modern data lake and data warehouse platforms, i.e., Hadoop, Flink, AWS redshift, Databrick.
• Solid knowledge and skills relevant for integration design and architecture thinking, flexible with design patterns like DDD/TDD to make solutions easy to be replicated and

scaled, architecture fit NN business as well.

• In-depth knowledge of DevOps and methodologies.
• Experience in scientific communication and stakeholder engagement within a complex organizational setting.

Working at Novo Nordisk

At Novo Nordisk we recognise that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and the communities we operate in.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. We are happy to discuss flexible working, depending on the role and subject to business needs.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.