Location
Barcelona | Spain
Job description
About the role
Join our dynamic team of 7 skilled Data Scientists and Data Engineers within Novartis Spain, where agility and innovation thrive!
Collaborate with us in leveraging commercial data to develop cutting-edge AI products, revolutionizing the landscape of the company.
Key responsibilities: • Translate business questions into analytical problems and devise solutions utilizing machine and deep learning, statistical modeling, and visualization techniques.
• Implement cutting-edge algorithms, methods, statistical models, and business models to gain insights from both structured and unstructured data.
• Rapidly assimilate and experiment with various tools, data sources, and analytical methodologies to address critical business inquiries and enhance existing processes.
• Deliver clear and meaningful business intelligence to key stakeholders.
• Demonstrate expertise in one or more domains of data science and apply practical knowledge proficiently.
• Contribute to the development of innovative quantitative methods to optimize workflows and explore new analytical avenues.
• Provide support for diverse projects with defined scopes and actively participate in collaborative project leadership.
• Communicate technical concepts effectively to non-technical audiences.
Role Requirements
Role Requirements: • Demonstrate innovative thinking and the capability to lead product initiatives.
• You need to be able to work autonomously: either when leading your products as a product owner or when working on other colleagues’ products as a developer.
• Analytical thinking: You’ll need to translate business questions into data science solutions.
• We develop end-to-end products so you will need to:
o SQL knowledge: you will need to develop your own ETLs.
o ML knowledge: regression, classification, clustering, recommenders, dimensionality reduction, etc.
o ML deployment experience.
• We will highly value if you have experience in:
o MLOps.
o Agile software development.
o Version control (git).
o CI/CD and container technologies (docker, Kubernetes).
Essential requirements: • Degree in Mathematics, Statistics, Computer Science, Physics or in a quantitative field
• At least 6 years of relevant experience
• Academic experience in a multidisciplinary data & analytics environment or in research
• Experience in predictive modeling and large data analysis
• Experience in statistical/analytics tools such as Python or big data technologies for machine learning
• Expertise in at least a visualization tool like Power BI, Streamlit, or Tableau for crafting insights.
• A track record of innovating through machine learning, databases and statistical algorithms and their applications. Hands-on experience with data mining, its concepts, techniques and implementation.
• Fluent English (written and verbal)
Desirable requirements: Business proficient in Spanish (written and spoken)
Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates who drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here:
You’ll receive: Company Pension Plan, Life and Accidental Insurance, Meals Allowance or Canteen in the office, Flexible working hours.
Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here:
Commitment to Diversity & Inclusion:
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Job tags
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