Job Description

What the role is:

The Data Scientist role is to collaborate with the existing team of data scientists, data engineers, analysts and internal stakeholders to bring scientific, mathematical rigour and enhance statistical methods to identify opportunities that will drive new business initiatives and growth. Working with cross-functional teams within TTG, agency partners and external vendors, the person is expected to also implement, integrate and deploy developed algorithms / models into the current analytics system to avail deeper insights into our visitors to drive STB\'s strategic objectives and growth for Singapore\'s tourism industry.

What you will be working on:

1. Project Management

a) Project manage and work closely with vendors and internal stakeholders to deliver on data science related implementations ensuring that deliverables and objectives are met within agreed scope and timelines.

b) Collaborate with cross-functional teams, including data engineers, product managers, and business analysts, to integrate and deploy models into current analytics platforms and production systems.

2. Application of Advanced Analytics and Data Science to Support Strategic Business Objectives

a) Work with large, complex datasets and solve non-routine analysis problems, applying advanced analytical methods as required (e.g., multi-objective optimisation, bayesian optimsation etc) to address business use cases and aid in decision making.

b) Prepare, process, cleanse and verify the integrity of data collected for analysis.

c) Apply data mining techniques, perform statistical analysis and build prototype analysis pipelines iteratively to provide insights at scale.

d) Apply advanced machine learning techniques and models (e.g., LLMs, Autoencoders, GANs) to create machine learning-based tools or processes (e.g., recommendation engine(s), synthetic data generation, performance tracking through A/B testing, forecasting and predictive capabilities) to improve the current analytics capabilities.

3. Data Collection and Management

a) Collaborate with current team to review the existing data collection strategies and make improvements to the current data collection strategy.

b) Enhance data collection procedures to identify and include suitable data for building analytic models relevant for industry transformation.

c) Analyse and assess the effectiveness and accuracy of new data sources (e.g., datasets received from stakeholders, and annotation/ labelling of new training inputs).

d) Work with data and agency partners to assemble large, complex datasets that meet functional and non-functional business requirements.

e) Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.

What we are looking for:

• Degree from a recognised university in a quantitative discipline: Data Science, Applied Mathematics & Statistics or Computer Science.
• At least 3-5 years of relevant experience working in developing ML / AI mathematical models and successfully deploying at least 1 medium to large scale ML system.
• Proven track record in managing internal and external stakeholders and delivering on objectives according to project timelines.
• Good presentation and communication skills with ability to express complex ideas, data / concepts and outcomes of analysis clearly to business audiences.
• Strong analytical skills with a good eye for detail and possess an aptitude/experience in solving analytical problems using quantitative approaches.
• Ability to integrate and synthesise research and data across multiple sources to derive meaningful conclusions.
• Possess extensive working experience solving analytical problems, including skills in statistical data analysis such as linear models, regression, multivariate analysis, stochastic models and sampling methods.

Experience in machine learning techniques (e.g., k-NN, Bayesian Networks, SVM, Decision Forests etc.), machine learning frameworks (e.g., TensorFlow, PyTorch) and numerical methods (e.g., multi-objective optimisation, bayesian optimsation etc.) * Experience in using Qliksense and AWS services (e.g., SageMaker, Athena, RDS, ECR, ECS, EMR, Lambda, Redis) will be advantageous.

• Experience with deploying models through MLOps will be advantageous.
• Experience working with structured and unstructured datasets is essential.
• Proficient in statistical programming tools (e.g., R, Python), and database languages (e.g., SQL - DQL, DML, DDL)
• Good command of written and spoken English
• Strong planning, organisational, and time management skills
• Showing good business acumen, analytical thinking and judgement
• Working effectively within STB to achieve results
• Working effectively with stakeholders outside STB
• Serving with heart, commitment and purpose
• Being innovative and learning continuously
• Driving outcomes by thinking strategically with a transformational mindset

Application Status: Shortlisted candidates will be contacted within 2 weeks from the closing date of this job posting. We regret to inform that only shortlisted candidates will be notified.

About Singapore Tourism Board:

The Singapore Tourism Board (STB) is the lead development agency for tourism, one of Singapore\'s key economic sectors. Together with industry partners and the community, we shape a dynamic Singapore tourism landscape. We bring the Passion Made Possible brand to life by differentiating Singapore as a vibrant destination that inspires people to share and deepen their passions. Our success comes from working as one STB team in an environment of trust, openness, fun and care. What can you expect as part of #TeamSTB? \xe2\x80\xa2 Professional and Personal development: We provide structured training and initiatives aimed at equipping you with a well-rounded set of competencies to excel in your career. \xe2\x80\xa2 Staff benefits: We offer flexible work arrangement, family care leave and wellness programmes to enable you to achieve a healthy level of work-life effectiveness. Award-winning Workplace \xe2\x80\xa2 Public Sector Employer of Choice: (2nd) 2014, 2nd (2015) and 1st (2016) \xe2\x80\xa2 Singapore\'s Top 100 Leading Graduate Employers: Winner - Hospitality, Leisure, and Tourism Sector (2021) \xe2\x80\xa2 NS Mark (Gold) Accreditation For more information on STB, please visit https://www.stb.gov.sg.

Singapore Tourism Board