Senior Data Scientist
- Employer
- Cognizant
- Location
- Singapore, Singapore
- Salary
- Competitive
- Closing date
- Dec 26, 2024
View more categoriesView less categories
- Job Function
- Other
- Industry Sector
- Finance - General
- Employment Type
- Full Time
- Education
- Bachelors
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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.
- At least 10 years of relevant working experience in data projects or data science or analytics.
- 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 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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