An exciting opportunity to join a prestigious and one of the biggest commercial Company. Our client offers attractive salary package and work life balance for the potential candidate.Our client is looking for System Support Manager to join their IT service team.
Responsibilities
- Serve as a key client-facing contributor
- Collaborate with the business to translate unstructured business questions into quantitative problems
- Provide advanced analytics support, including machine learning, big data, and sophisticated statistical modeling
- Advise on appropriate analytical models based on available data, technology, and platform
- Evaluate machine learning algorithms and models, and provide technical recommendations to business units for decision-making
- Prototype advanced analytics and machine learning solutions, and optimize them iteratively for business partners
- Monitor data science product performance to ensure the delivery of expected business value, and initiate necessary corrective actions
- Anticipate needs and lead the implementation of capabilities such as data modeling, algorithms, new technology, and partnerships
Requirements
- Master's degree or equivalent in Data Science, Computer Science, Econometrics, Mathematics, Operations Research, Statistics, or a related discipline
- 3-6 years of work experience in data science, with a proven track record of leveraging large amounts of data to drive significant business impact, including at least 1 year of optimization experience
- Advanced analytical skills, experience in recommending appropriate algorithms and methodologies for problem-solving and decision-making, leveraging both logic and creativity
- Proficiency in statistical analysis tools and machine learning languages, such as Python/R, as well as experience with big data tools (e.g., Spark) and query languages
- Preferred experience in advanced machine learning topics (e.g., NLP, Graph Neural Networks, Probabilistic Models)
- Strong communication skills to articulate ideas verbally and in written form for audiences at different levels
- Solid understanding of the latest analytics technology, concepts, and trends in platforms and tools
- Good knowledge of database concepts, data modeling, business intelligence disciplines, and data management tools
- Experience with the AWS cloud stack is an advantage
- Experience with data visualization tools (e.g., Alteryx, QlikSense, PowerBI) is an advantage