Job Description Summary
Understand complex and critical business problems, formulates 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.
To manage the implementation and adherence to the overall data lifecycle of
enterprise data from data acquisition or creation through enrichment,
consumption, retention, and retirement, enabling the availability of useful,
clean, and accurate data throughout its useful lifecycle.
High agility to be able to work across various business domains. 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.
Job Description
Sandoz is the integral leader in Biosimilar and Generic medicines, a segment of
the healthcare industry that delivers 80% of the world’s medicines at 30% of the
cost,
touching the lives of more than 1 billion people across 100+ countries
How will we achieve our ambition? We aim to continue to simplify structures,
streamline processes and use smarter tools. We’re aiming to reduce complexity
and costs. This means faster decisions, clearer priorities and more time to
focus on what matters most.
As Expert Data Science at our Finance Innovation and Operations Hub, you'll
demonstrate deep technical expertise & drive complex model development.
Your responsibilities will include:
* Drives model development of complex solutions using ML/deep learning and
advanced statistical methods; selects appropriate techniques for the
question/problem
* Develops/improves data management techniques, algorithms, methods and
quantitative approaches; extracts insight from structured and unstructured
data
* Applies external research methodologies to business problems and proposes
scalab
📌 Expert Data Science (Madrid)
🏢 Sandoz
📍 Madrid