Title:  Senior Data Science Project Manager

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. Our dedication to excellence and our strong track record have earned us a distinctive reputation for quality and trust spanning 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.

Join our Cyber Team

We are an industry leader in cybersecurity with over two decades of experience, we deliver a holistic suite of trusted cybersecurity solutions to empower cyber resilience for government and ministries, critical infrastructures, and commercial enterprises. Backed by our indigenous capabilities and deep domain expertise, we offer robust cyber-secure products and services in cryptography, cybersecurity engineering, digital authentication, SCADA protection, audit and compliance.  We specialise in the design and build of security operations centres for cybersecurity professionals and provide managed security services to strengthen the cybersecurity posture of our government and enterprise customers.

We work with organizations to protect them from cyber threats. We help detect new unknown cyber threats through research, fortify networks, and defend critical information infrastructures. Our team consists of cybersecurity experts who use the advanced techniques and technologies to deliver cutting-edge solutions and services.

We are seeking a dynamic Senior Data Science Project Manager who is passionate about both leadership and hands-on management, capable of delivering high-quality data science solutions in complex environments. 

Responsibilities: 

Project Management & Leadership: 

• Oversee end-to-end execution of data science projects, ensuring alignment with business objectives. 

• Act as both Project Manager and Scrum Master to facilitate efficient project delivery. 

• Organize and manage project timelines, sprint planning, and progress tracking. 

• Foster communication between stakeholders, teams, and clients to ensure transparency and success. 

Strategic Planning & Business Process Analysis: 

• Analyze business requirements and translate them into functional specifications for data science applications. 

• Define key project goals, success metrics, and risk mitigation strategies. 

• Align data science initiatives with organizational priorities and operational workflows. 

Data Science & Machine Learning Oversight: 

• Lead the deployment and operationalization of machine learning models and AI-driven solutions. 

• Work closely with data scientists to develop scalable and efficient data pipelines. 

• Ensure seamless integration of analytical models into production environments. 

Team Leadership & Collaboration: 

• Mentor and guide data science teams, fostering professional growth and collaboration. 

• Establish best practices for model deployment, data governance, and quality control. 

• Encourage a culture of experimentation, learning, and continuous improvement. 

Technology & Infrastructure Management: 

• Oversee the adoption of best practices in MLOps, DevOps, and cloud infrastructure for data science projects. 

• Advocate for the use of scalable technologies and efficient workflows in data science development. 

• Ensure compliance with security policies, data privacy regulations, and industry standards. 

Requirements: 

Experience: 

• 7+ years of professional experience managing data science, AI, or machine learning projects. 

• Proven track record of successfully leading and delivering complex data-driven solutions. 

• Experience working in cybersecurity, finance, healthcare, or other high-stakes domains is a plus. 

Skills: 

• Expertise in data science methodologies, including machine learning, statistical analysis, and AI frameworks. 

• Strong proficiency in Python, with familiarity in ML frameworks like PyTorch. 

• Solid understanding of Data Science Architectures and DevOps practices. 

• Knowledge of CI/CD pipelines, model monitoring, and automation tools is a plus. 

Leadership & Project Management: 

• Strong leadership skills with experience as a Project Manager or Scrum Master. 

• Proficiency in Agile methodologies and tools like Jira. 

• Excellent problem-solving, organizational, and communication skills. 

Preferred Qualifications: 

• Certifications in Project Management or Agile methodologies (e.g., PMP, CSM) is a plus. 

• Experience in designing and deploying scalable data science solutions. 

Work Location: Jurong East

Find out more: https://www.stengg.com/cybersecurity

ST Engineering believes in fostering a culture where team members are encouraged to overcome challenges, explore new ideas, and work together to succeed. We value individuals who are determined to push beyond the boundaries, and have a thirst for knowledge, continuous learning, and self-improvement.