Data Scientist
5 days ago
Overview 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. 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. Skills Data Science, Machine Learning, Statistical Analysis, Data Visualization, Expert Level Programming (Python), Cloud environments (AWS, Azure, GCP), SQL Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
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