Our client is a leading worldwide technology partner providing critical components for IoT intelligence, with a special focus on Telecommunication Equipment and Metal Precision, LED technologies and Interconnect solutions. Technological innovation is in the DNA of entire organization and is also the cornerstone of DSBJ’s success. With cutting-edge production facilities and advanced technology, we constantly deliver state-of-the-art products and quality services. Towards this, DSBJ has established the data analytics COE to fully incorporate Big data and Artificial Intelligence into strategic roadmap and enable digital transformation and smart manufacturing initiatives. This role as Data Scientist will apply advanced analytics techniques (e.g. operations research, machine learning and computer vision) into business context to transform data into meaningful and actionable insights that subsequently drive better and faster decision making. You will build, validate and test prototype, get it to production ready phase and see through to the launch. You will be working alongside bright minds across big data, software engineering and advanced analytics, and also be involved in research and development of cutting-edge data analytics techniques to support specific business requirements and products.
Main Responsibilities / Accountabilities
Identify improvement opportunities using advanced analytics and define business problems from various functional domain (e.g. finance, supply chain, planning, manufacturing)
Translate business requirements into technical solutions, including mathematical/AI models, solution architecture and data pipeline to achieve measurable business outcomes.
Conceptualize, develop and enhance the advanced analytic model by selecting the relevant modelling methodologies and available structured/unstructured data.
Embed analytics models into operational systems by collaborating with application developers to enable faster and better decision making in the business process.
Communicate advanced analytics solutions to non-technical stakeholders to gain deep understanding and business adoption.
Work with project manager to break down overall work into manageable and tractable tasks while satisfying time, cost and resource constraints.
Advise management and stakeholders on the best practice using advanced analytics by exploring and benchmarking.
Perform progress check, solution review and documentation on regular basis.
At least bachelor’s degree in data science, Applied Mathematics, Statistics, Computing Science, Electrical/Computer Engineering, Business Analytics.
Minimum of 2 years of work experience in academic or business context to apply Data Science, Machine learning, Deep Learning, Operation Research, Mathematical Optimization.
Profound knowledge and understanding (e.g. application, limitation, challenges) of predictive or/and prescriptive analytics in various business scenarios.
Hands-on modelling/coding experience using various tools/libraries (e.g. AutoGluon, Ultralytics, Gurobi, TensorFlow, PyTorch, SciKit-Learn, Keras)
Proficiency in programming language (e.g. Python, Java) and database querying (e.g. SQL)
Self-motivated, proactive, independent learner who is willing to learn, experiment, and share knowledge with broader data analytics team to build learning R&D culture.
Ability to communicate clearly and effectively in both English and Mandarin.
Domain knowledge in supply chain, operations planning and manufacturing is highly valued.
Experience in intelligent document processing or computer vision is a plus.
Please apply directly. Charterhouse provides a market leading referral incentive as well. All you need to do is to refer suitable resumes to Xavier Yap at XavierY@charterhouse.com.sg.
EA License no: 16S8066 | Reg no.: R1980978
Only successful candidates will be notified.