Data Scientist - Toa Payoh

The Data Scientist is responsible for collecting, analyzing, and interpreting large datasets to derive actionable insights that inform strategic business decisions. This role involves utilizing advanced statistical methods, machine learning algorithms, and data visualization techniques to solve complex business problems and enhance operational efficiency.

• Data Collection and Management: Gather and preprocess data from various sources, ensuring its quality and reliability through cleaning and validation processes.
• Data Analysis: Analyze large datasets using statistical methods and machine learning techniques to identify trends, patterns, and relationships that inform business strategies.
• Model Development: Design, implement, and refine predictive models and algorithms to address specific business challenges and improve decision-making processes.
• Visualization and Reporting: Create visualizations and reports to effectively communicate findings to stakeholders, presenting complex data in an understandable manner.
• Collaboration: Work with cross-functional teams, including product managers, engineers, and business analysts, to integrate data-driven solutions into existing workflows.
• Performance Monitoring: Monitor the performance of models post-deployment, conducting regular evaluations and adjustments as necessary to maintain accuracy.
• Continuous Learning: Stay updated with the latest developments in data science, machine learning, and industry trends to apply innovative techniques in projects.

• Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A master’s degree is preferred.
• Experience: Proven experience as a Data Scientist or in a similar analytical role, with a strong portfolio of projects demonstrating data-driven solutions.
• Technical Skills: Proficiency in programming languages such as Python or R; experience with SQL for data manipulation; familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Analytical Skills: Strong analytical skills with the ability to interpret complex datasets and derive meaningful insights.
• Communication Skills: Excellent verbal and written communication skills for presenting f indings to both technical and non-technical audiences.
• Problem-Solving Abilities: Strong problem-solving skills with a creative approach to addressing business challenges using data.