Senior Data Scientist

6 days ago


Singapore NEWBRIDGE ALLIANCE PTE. LTD. Full time

We are currently seeking a highly skilled and experienced Senior Data Scientist to join our client's dynamic team. In this role, you will play a pivotal part in leveraging data to drive insights, develop innovative solutions, and contribute to our client's company's success in the ever-evolving digital landscape. This is an exciting opportunity to work on cutting-edge projects, develop state-of-the-art machine learning (ML) models, and shape the development of next-generation technologies.

**Responsibilities**:

- Algorithm Development: Collaborate with cross-functional teams to design, develop, and implement algorithms that solve complex problems and optimize business processes. Integrate data-driven solutions into our products and services to enhance user experiences and drive growth.
- Data Analysis and Modeling: Utilize advanced statistical techniques and machine learning algorithms to analyze large volumes of data. Extract valuable insights, identify patterns, and develop predictive models that inform strategic business decisions and initiatives.
- ML Model Optimization: Optimize and fine-tune ML models to improve accuracy, efficiency, and scalability. Continuously refine and enhance the performance of models to meet evolving business needs.
- Collaboration with Software Engineers: Work closely with software engineers to integrate ML models into production systems and ensure seamless deployment. Collaborate on the implementation of ML solutions and drive successful integration within technology ecosystem.
- Experimentation and Evaluation: Design and execute experiments to evaluate the performance and effectiveness of ML models. Use statistical analysis to measure and quantify results, providing actionable insights for continuous improvement.

Qualifications:

- PhD or Master's degree in Computer Science, Electrical Engineering, Statistics, or a related field.
- Strong knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and relevant tools/libraries (e.g., scikit-learn, Keras).
- Experience with large-scale data processing, data mining, and data visualization.
- Proficiency in programming languages such as Python, with the ability to write clean, efficient, and scalable code



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