Data Scientist

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 35,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

Eli Lilly Italia is looking for a Data Scientist to join our Team in Sesto Fiorentino. He/She will be responsible of supporting the overall manufacturing organization finding new valuable and actionable process insights by modelling, transforming and analysing large data sets from different manufacturing system sources.

In addition to this, he/she will develop and deploy advanced analytics solution aimed at supporting decision making, monitoring & optimize process outcomes. He/she will contribute to scout, assess and deploy innovative methods and technologies that allow to expand the available manufacturing data and enable to access new valuable information. He/she will contribute to deploy the data driven culture within the manufacturing organization.

Main responsibilities of the role:

- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement initiatives.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Use predictive modeling to increase business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Manage the solutions developed during their whole life cycle
- Coach the manufacturing organization on data analytics methods and technologies.

Basic requirements:

- Master’s Degree in Computer Science, Engineering or other scientific disciplines
- English fluency (minimum B2 level)
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Additional skills/preferences:

- Excellent written and verbal communication skills for coordinating across teams.
- A drive to learn and master new technologies and techniques.
- Understanding of the Manufacturing S95 Information System Architecture

Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

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