Big Data Algorithm Engineer, DD&T, Chengdu
応募 後で応募 求人ID R0158885 掲載日 07/23/2025 Location:Chengdu, ChinaBy clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’sPrivacy Noticeand Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description
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.
REQUIRED SKILLS AND QUALIFICATIONS:
Education Requirements:
- Solid educational background in mathematics, computer science, statistics, economics, or related fields.
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)