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Data Scientist
2 weeks ago
**Job Purpose**:
The Lead Data Scientist will work with stakeholders to leverage data analytics and identify patterns based on aggregate data to find risks or opportunities, as well as to make performance change recommendations. S/he will create forecasts using analytics information and results, compare sets of data to optimize resource allocation and support business development through the use of data.
**Responsibilities**:
- Chart out the Group’s long-term technology development resources, masterplan and formulate strategies to achieve the desired outcomes.
- Lead the team in the development and implementation of strategic plans which leverages on technology as a force multiplier.
- Identify the potential areas for investments and collaborate with external stakeholders to enhance and/or expand current businesses through innovative use of technological solutions.
- Establish network with institutions, universities and innovation centers etc., to ensure information flow of novel technologies.
- Promote synergies in technology development efforts across the different Business Units, ranging from enhancing operational/engineering capabilities to investing in new areas of growth or inventions, e.g., generating intellectual property to enhance the organisation’s competitive edge.
- Grow and sustain data analytics capabilities to drive and support business decisions.
- Working with data analytics team in selected analytics projectsEngage partners across business lines to understand business problems, analytical opportunities and constraints
Drive new data collection and refine existing data sources
Design, develop and evaluate analytical approaches and techniques as required
Derive insights, actionable recommendations and communicate these to business users and management
- Conceptualising and implement initiatives to build analytical capabilities and culture across SMRT corporation.
**Qualifications & Work Experience**:
- Min Bachelor Degree, preferably in Engineering, Computer Science, Information Technology, Mathematics, or Statistics
- Min 5 years of relevant experience as a data scientist or in a similar role
- Data engineering certification is a plus
**Skills**:
**Technical skills include**:
- Proficient and experienced in scripting languages and have rapid prototyping skills such as Python, MS SQL, R, MS Excel, etc.
- Knowledge of Machine Learning and Artificial Intelligence Framework ecosystems and languages, such as Keras, TensorFlow, etc.
- Strong analytical skills with the ability to collect, clean, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
- Experience with data visualisation tools such as Power BI, Tableau, Qliksense etc. would be an advantage
- Ability to understand and explain complex data and effective working as a liaison between technical and non-technical groups
**Generic skills include**:
- Strong analytical and problem-solving skills, meticulous and resourceful
- Self-starter, deals well with ambiguity, and able to work successfully across varied stakeholders
- Agility to embrace and drive change
