Job Description

Key Responsibilities

Develop and implement advanced statistical and machine learning models to solve complex problems
Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions
Manage data science projects, ensuring they meet business requirements and are delivered on time
Mentor junior data scientists, providing guidance and support in their professional development
Apply advanced statistical and machine learning techniques to extract insights and generate solutions from large and diverse data sources.
Develop and deploy scalable and robust data products and applications that support decision making and service improvement.
Collaborate with cross-functional teams to integrate data science solutions into business processes
Communicate and present data-driven findings and recommendations to various stakeholders and senior management.
Mentor and coach junior data scientists and analysts in the team.
Manage and motivate a team of data scientists and analysts, and foster a culture of collaboration, innovation, and excellence.

Requirements

A degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, with at least 10 years of relevant working experience in data projects or data science or analytics, preferably in the Singapore public sector.
Proficient in Python, R, SQL, and other programming languages and tools for data analysis and manipulation.
Strong knowledge & experience in building complex Data Platform system equipped with latest Enterprise Data warehousing and modern design applications ready for consumption for Data Analysis & Business decision making using AIML & GenAI technologies.
Strong knowledge and experience in applying statistical and machine learning methods, such as regression, classification, clustering, natural language processing, computer vision, etc.
Experience in developing and deploying data products and applications using cloud platforms, such as AWS, Azure, or Google Cloud.
Proficient in working with large language models, such as GPT-3, BERT, or Transformer-XL, and applying them to various natural language tasks, such as text generation, summarization, question answering, etc.
Experience in building and deploying AI and ML models using the Artificial Intelligence and Machine Learning (AIML) platform, a government-wide platform that provides end-to-end capabilities for data ingestion, processing, modelling, and deployment.
Exhibit strong Data Architect skills to provide solution & Design for complex Data Platform projects.
Excellent communication and presentation skills, with the ability to translate complex data and technical concepts into clear and actionable insights for non-technical audiences.
Passionate about solving public sector challenges and creating positive social impact through data and analytics.
Demonstrated leadership and people management skills, with the ability to inspire, empower, and develop a diverse and high-performing team.

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Data Scientist

Cognizant

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Job Description

Interview Questions of Data Scientist at Cognizant