Data Scientist

Náplň práce, právomoci a zodpovednosti:
Data Scientist

The Future Begins Here
At Takeda, we are creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our new Innovation Capability Center (ICC) in Bratislava, Slovakia.
In this role at our state-of-the-art center, you will have the opportunity to grow your skills and create solutions that will benefit patients around the world. Become the heart of our internal innovation engine.

At Takeda we unite in diversity
Takeda is committed to creating an inclusive workplace, where individuals are recognized for the diverse backgrounds and abilities they bring to our company. We are continually improving workplace experience and accessibility for everyone, and welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our Team.

The Opportunity
The 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.

Responsibilities
• Collect and analyze large datasets from diverse sources to drive key business insights.
• 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.

Zamestnanecké výhody, benefity:
What Takeda Can Offer You

At Takeda, you may build your career, while contributing to better people’s lives. Expect trust driven culture built around Integrity, Fairness, Honesty and Perseverance. Joining ICC will give you access to high end technology, training and colleagues who will support your growth.

Benefits
Here are a few benefits our employees are enjoying at Takeda. To get a full picture of what we are offering, go to our Benefits page (button above).

• Cafeteria
• Medical - High standard medical care
• Bridge days
• Summer Hours
• Multisport Card

Požiadavky na zamestnanca:
Essential Experience Requirements:
• Proven 3+ years of experience as a Data Scientist or in similar role
• Proficient in programming languages such as Python and R, with a strong emphasis on machine learning libraries (e.g., scikit-learn, TensorFlow, Keras, PyTorch).
• Strong understanding of machine learning algorithms, including regression, classification, clustering, and dimensionality reduction techniques.
• Experience with deep learning frameworks and building complex neural network models.
• Expertise in natural language processing (NLP) techniques and applications.
• Proficiency in data visualization tools like Tableau or Power BI, and ability to communicate findings effectively.
• Strong data manipulation and database management skills, including SQL.
• Analytical thinking and problem-solving skills with the ability to develop innovative solutions.
• Strong business acumen and ability to translate machine learning insights into actionable business strategies.
• Excellent communication and interpersonal skills for effective collaboration with stakeholders.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models is a plus.
• Knowledge of AutoML platforms and emerging technologies like generative AI.
• Proficiency in English (both spoken and written)