About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business 

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact 

As a Lead Data Scientist, you will be responsible for driving data-driven decision-making and developing innovative data analytics solutions to help clients solve complex business problems. You will oversee the entire lifecycle of analytics projects, from requirements gathering and data scoping to model deployment and monitoring. You will lead a team of data scientists and collaborates with technical and business teams on architectural discussions and communicates impactful results to stakeholders. 

Be Part of Our Success

• Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring). 
• Manage and optimise processes for data intake, validation, mining and engineering as well as modelling, visualisation and communication deliverables.
• Propose, implement and validate algorithms ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational cost. 
• Lead small-scale projects on his/her own with supervision.
• Lead the architecture discussions with technical and business teams
• Communicate results and business impacts of insightful initiatives to stakeholders within and outside of the company.
• Manage a team of analytics professionals to help with analytics projects and initiatives.
• Extract and interpret business centric learnings and apply advanced storytelling techniques to draw key insights from data and facilitate decision making

Qualities We Value

•  At least 7 years of working experience in SQL, R or Python programming with the ability to conduct quality checks of teams’ work and when necessary write code to perform analysis
• Working knowledge of machine learning and data mining principles: Predictive analytics, mapping, collecting data from multiple data systems on-premises and cloud-based data sources.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• High comfort level with assignment prioritization changes.
• Strong communication and interpersonal skills are a must; the individual must be able to demonstrate they can present and explain complex concepts to the typical business users.
• A client-centric, outcome driven and quality focused team player. 
• Knowledge of complete stack of data & analytics solution from data acquisition, ingestion to publishing and visualization
• Knowledge of advanced analytics technology/platform, e.g., ML/AI, data science

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated. 
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.