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Data Scientist

Employer
Cognizant
Location
Singapore, Singapore
Salary
Competitive
Closing date
Sep 16, 2024
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Job Function
Other
Industry Sector
Finance - General
Employment Type
Full Time
Education
Bachelors
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

• 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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