By 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’s Privacy Notice and 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) **Locations** CHN – Chengdu - Commercial **Worker Type** Employee **Worker Sub-Type** Regular **Time Type** Full time