Data Scientist

About Activate Interactive

Activate Interactive Pte Ltd is a premier technology consulting firm headquartered in Singapore, also present in Malaysia and Indonesia. We empower our clients by delivering top-quality, cost-efficient end-to-end application development services including mobile and web apps, along with cloud technology solutions that eliminate technical hurdles and boost business efficiency.

We are passionate about using technology to have a positive impact on people's lives and the environment. Our company culture encourages employees to reach their full potential while fostering continuous innovation.

We invite you to join our expanding team as part of our Co-Development Business Unit.

Role Overview

The Data Scientist role is a fixed-term contract position spanning 36 months, directly supporting projects with Singapore Government agencies, including HDB. You will be involved in addressing complex business challenges by devising data-driven solutions that contribute to delivering affordable and quality housing.

The AI and Data Department (AIDA) at HDB is renowned for its dedication to excellence in artificial intelligence, staffed by expert data scientists solving critical agency problems. Joining this dynamic team means continuous learning and pushing boundaries to benefit the public.

Key Responsibilities

• Participate as a pivotal member in strategic and complex data science projects, engaging in impactful problem-solving and algorithm selection while ensuring solution correctness and efficiency.
• Enhance the team’s technical workflows and methods, organize group efforts, elevate practices where feasible, and conduct peer reviews to maintain high-quality standards.
• Collaborate closely with stakeholders from IT and business units to co-develop innovative, high-value solutions, building strong partnerships with system project leaders, data engineers, and business teams.
• Maintain cutting-edge expertise in data science innovations by actively monitoring the landscape and continuously advancing your technical skills.

Candidate Requirements

• Minimum of 3 years of professional experience in data science with a reputable organization.
• A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Exceptional problem-solving skills tailored for data science challenges using frameworks such as MECE and root cause analysis.
• Practical knowledge of MLOps and experience in comprehensive model development and deployment in cloud environments like AWS.
• Expertise in deep learning theories and practices, including transformer models, reinforcement learning, AI Engineering (neural embeddings, large language models, Generative AI systems using frameworks like LangChain and LangGraph), vector databases, EDD, optimization, statistical modeling, and multi-criteria decision analysis.
• Experience in data engineering focused on data science needs (ELT processes, structured data transformations, and database technologies).
• Strong team collaboration abilities and excellent communication skills, including data visualization.
• Proficient programming skills in Python (with relevant frameworks), R, SQL, and Shell scripting.

Benefits and Work Environment

• Competitive salary package with variable performance bonuses based on skill and impact.
• Comprehensive benefits including outpatient and specialist medical coverage, life and health insurance, customizable flexi benefits or allowances, and special occasion perks like festive packets.
• Support for employee wellness through continuous physical, mental, and overall health initiatives.
• Opportunities for professional growth with learning programs, certification support, and a dedicated development budget.
• Clear career advancement pathways with options for technical expertise or leadership progression.
• A structured competency framework to help you develop and succeed in your role.
• Flexible working arrangements including choices in location, hours, and workload within existing company policies.

Additional Information

The recruitment process will respect equal opportunity principles without discrimination based on race, gender, religion, sexuality, or other protected characteristics. Privacy and data security are given utmost importance, with candidate data handled solely for recruitment-related purposes.