Data Scientist - Senior Consultant

Job Responsibilities

• Analyse complex business problems and translate business requirements into data-driven solutions and actionable insights.
  
• Develop, implement, and maintain machine learning models, statistical models, and predictive analytics solutions.
  
• Collect, clean, transform, and analyse large datasets from multiple sources to ensure data quality and accuracy.
  
• Apply statistical analysis, data mining, and advanced analytical techniques to identify trends, patterns, and business opportunities.
  
• Design and develop data science solutions using programming languages such as Python, R, and SQL.
  
• Collaborate with clients and cross-functional stakeholders to understand business needs and recommend appropriate data science strategies.
  
• Build, validate, and optimise machine learning models to improve accuracy, efficiency, and business performance.
  
• Develop data visualisations, dashboards, and analytical reports to communicate findings and recommendations to stakeholders.
  
• Support the deployment, monitoring, and continuous improvement of data science models and analytical solutions.
  
• Prepare technical documentation, present project findings, and provide expert consultation on data science methodologies, best practices, and emerging technologies.
  

Requirements

Job Requirements

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.
  
• Minimum 4 years of relevant experience in data science, machine learning, advanced analytics, or a similar role.
  
• Proficiency in Python or R, SQL, and relevant data science libraries and frameworks, such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
  
• Strong knowledge of statistical modelling, machine learning algorithms, data mining, data visualisation, and predictive analytics techniques.
  
• Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to translate complex technical findings into practical business recommendations.
  

Clarence Khoh
R1552376