Electrical Test Technician

About the Role

We are seeking exceptional Data Scientists with a rare blend of technical expertise and strong communication skills to join our Singapore based team. You will play a leadership role in our data science initiatives-shaping strategy, delivering high-impact solutions, and influencing decision-making across major clients.

You'll be part of a fast-growing, highly regarded Data Science team within UST, working in cross-functional agile teams. As a client-facing expert, you'll drive the full lifecycle of data projects from business problem framing and data acquisition to advanced modelling and deployment.

Key Responsibilities

• Client Leadership: Act as a trusted advisor for high-profile clients. Understand business goals and recommend tailored, data-driven solutions.
• Advanced Analytics Delivery: Lead the design and execution of ML models, statistical analyses, and optimization algorithms on large, complex datasets.
• Business Storytelling: Translate complex analytical outcomes into clear, impactful presentations and dashboards for executive and non-technical audiences.
• End-to-End Solutioning: Architect and deliver production-grade data science pipelines, from data ingestion to model deployment in cloud or hybrid environments.
• Cross-Functional Collaboration: Work closely with ML engineers, developers, and analysts in agile teams. Mentor junior data scientists and contribute to upskilling initiatives.
• Innovation & Thought Leadership: Drive continuous innovation through reusable components, best practices, and contributions to research, publications, or conferences.

Must-Have Skills & Experience

• MSc/PhD in Mathematics, Statistics, Data Science, Computer Science, or a related field or equivalent real-world experience.
• 4+ years in a Data Scientist or similar role, preferably in consulting or client-facing environments.
• Expert-level proficiency in Python (including libraries such as pandas, scikit-learn, NumPy, etc.).
• Strong understanding of Machine Learning, Statistical Modelling, and Data Visualization (e.g., using matplotlib, seaborn, Plotly, Power BI, or similar).
• Proven ability to communicate insights effectively to C-suite and non-technical stakeholders.
• Hands-on experience deploying models in cloud environments (AWS, Azure, GCP).
• Solid foundation in SQL, data wrangling, and working with large, disparate datasets.
• Demonstrated leadership and mentoring capabilities within data science teams.

Preferred / Nice-to-Have Skills

• Experience building recommendation engines, optimization models, or real-time analytics solutions.
• Cloud certifications (e.g., AWS Certified ML Specialty, Azure Data Scientist Associate, or GCP Professional Data Engineer).
• Contributions to open-source projects, published research, or speaking engagements at industry conferences.

Data Science, Machine Learning, Statistical Analysis, Data Visualization, Expert Level Programming(Python), Cloud environments (AWS, Azure, GCP), SQL