Senior Manager, Data Science Advisory

ST Engineering

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Job Description

The Group Engineering Centre (GEC) in ST Engineering is looking for a Senior Data Science Manager who is able to champion the value of data science by leading a team of data scientists, analysts, and engineers to provide analytics consultancy to internal business units and their customers. GEC was formed in 2021 to develop common competencies and platform products that can be proliferated to all lines of businesses. Data Analytics is one such common capability and forms one of the strategic engineering centres within GEC.

- Work with the Engineering Centre Head to build up the advisory pipeline of work

- Lead a team of data scientists, engineers, and analysts on analytics advisory projects to deliver actionable insights to the business using business & data understanding, statistical knowledge, and analytical modelling skills.

- Work closely with product & project managers, data engineers, UX designers, and platform developers in the implementation and deployment of AI platform products to drive product impact

- Distill complex analytical outcomes into concise, presentable, and actionable feedback for both customers and internal engineering teams

- Manage and coach data scientists at all levels

- Help to build up a data driven culture across the group – conduct trainings, educate stakeholders, and hold workshops to build up data science awareness and competencies

Requirements:

- Prefer a Master's Degree or PHD in quantitative domains such as Computer Science, Machine Learning, Statistics, Operations Research, or similar with at least 7 to 10 years of working experience in data analytics

- In-depth technical knowledge and experience in any of the following will be a major plus

1. Computational Intelligence

2. Operations Research

3. Predictive Maintenance

4. Anomaly Detection

5. Fluid Dynamics

6. Video/Image Processing

7. AI and Neural Networks

8. Social & Cognitive Computing

- Extensive practical experience with the end-to-end analytics process – ideation/value elicitation, data acquisition & profiling, analytical modelling, testing, validation, visualization, and solutioning

- Strong problem solving skills, curiosity, and passion for data science

- Experienced in SQL (any flavour), Python, R, Matlab, Java, or C

- Familiar with distributed computing, simulation, optimization, and visualization tools

- Excellent coordination, time management, and people management skills to handle complex projects and customers

- Willing and enthusiastic about continuous learning