Data Scientist / Senior Data Scientist

DSTA; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DSTA's Chief Information Office is seeking motivated Data Scientists to join a young, agile and multi-disciplinary team. You will drive the identification, development and delivery of high-impact solutions by applying a product-centric mindset, leveraging data, AI, advanced analytics and deep learning techniques to address real-world problems and deliver business value to DSTA.

As a Data Scientist, you will work on translating business problems into analytical models, building and deploying

Qualifications

• Degree in data analytics, computer science, information systems or computer engineering or related disciplines.
• Experience in developing and deploying data analytics or AI solutions (Senior role requires at least 2 years).
• Strong ability to manipulate data, perform exploratory analysis and develop models.
• Proven experience with product and problem framing and cross-disciplinary collaboration.

Responsibilities

• Evaluate AI and data use cases considering data quality, constraints, and responsible AI practices.
• Translate business problems into analytical and machine learning models.
• Build complex models and conduct exploratory analysis on large datasets.
• Collaborate with data engineering and platform teams to develop data pipelines.
• Develop and deploy data-driven solutions to improve decision-making and deliver business value.
• Drive experimentation, prototyping and iterative validation before full-scale development.
• Communicate effectively in a multi-disciplinary team.

Skills

Machine learning

Deep learning

Generative AI/LLMs

Python

R

SQL

Problem framing

Communication

Education

Degree in Data Analytics / CS / IS / CE

Tools

Python

R

SQL

Job description

The Chief Information Office is seeking motivated Data Scientists to join a young, agile and multi-disciplinary team. You will drive the identification, development and delivery of high-impact solutions by applying a product-centric mindset, leveraging data, AI, advanced analytics and deep learning techniques to address real-world problems and deliver business value to DSTA.

Job Responsibilities

• Evaluate the feasibility and value of AI and data use cases, taking into account data availability and quality, technical constraints, responsible AI, security and implementation considerations.
• Translate business problems into analytical and machine learning models.
• Build complex models and conduct exploratory analysis on large datasets to derive actionable insights.
• Establish effective partnerships with data engineering and data science platform teams to develop and integrate data pipelines.
• Develop and deploy data-driven solutions to improve decision-making and deliver business value to DSTA.
• Drive experimentation, prototyping and iterative validation to establish value before committing to full-scale product development.
• Degree in Data Analytics, Computer Science, Information Systems, Computer Engineering or related disciplines.
• For the Senior Data Scientist role, at least 2 years of experience in developing and deploying data analytics and/or artificial intelligence solutions.
• Demonstrated expertise in data manipulation, exploratory analysis and model development.
• Strong understanding of machine learning, deep learning and Generative AI/LLMs, including the ability to select appropriate techniques and models for different use cases.
• Proficiency in Python, R and SQL.
• Experience in product and problem framing.
• Strong communication and interpersonal skills, with the ability to work effectively in a multi-disciplinary team.

Competencies Required

• Ability to translate business problems into technical and analytical models.
• Expertise in advanced analytics, machine learning, deep learning and AI techniques.
• Strong communication and multi-disciplinary collaboration skills.
• Adaptability to work effectively in a dynamic and multi-disciplinary environment.