At Takeda, we are leading digital evolution and global transformation. Mexico City has been selected to be home to Takeda's recently launched Innovation Capability Center thanks to its international recognition in qualified and experienced talent in the data, digital and technology fields. We invite you to join our digital transformation journey.
In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to general impact and improvement.
We are continuously improving our collaborators' journey in Takeda, and we welcome applications from all qualified candidates. The Senior Data Scientist is responsible for performing complex data analysis to support business operations, with a primary focus on machine learning applications.
This role involves developing data architectures, mining methodologies, and machine learning models to identify trends and insights from large datasets.
By implementing advanced data science principles and techniques,



this role helps drive informed business decisions and contributes significantly to Takeda's mission.
Develop machine learning models, including supervised and unsupervised learning techniques, to predict and optimize business outcomes.
Implement and optimize deep learning architectures and algorithms such as neural networks and reinforcement learning.
Construct data architectures, models, and protocols to identify trends and insights.
Create visualizations and dashboards to present data insights to stakeholders clearly and effectively.
Work collaboratively with cross-functional teams to integrate machine learning insights into business strategies.
Manage projects independently and provide guidance to junior professionals.
Stay updated with the latest trends and advancements in machine learning and data science, applying them as needed.
Implement MLOps best practices to streamline the deployment, monitoring, and lifecycle management of machine learning models in

📌 Data Scientist (Ciudad de México)
🏢 Takeda
📍 Ciudad de México