Data Scientist/Senior Data Scientist, Risk Sensemaking Analytics, xData
1 day ago
Join to apply for the Data Scientist/Senior Data Scientist, Risk Sensemaking Analytics, xData role at HTX (Home Team Science & Technology Agency) .
As a Data Scientist (Risk Sensemaking Analytics) in HTX, you will develop a suite of inhouse AI models to augment cognitive workload of Home Team officers and collaborate with stakeholders to develop data science & AI models to solve MHA's operational challenges and support new transformative capabilities. You will implement and deploy solutions that best meet users' requirements, considering technological suitability and alignment to organisational plans and roadmaps.
Job Responsibilities- Work in a data science team with other stakeholders to identify, scope, develop and implement data science and AI solutions to address users' needs.
- Design and implement workflows for data pre-processing and feature engineering, develop machine learning models, and evaluate techniques and algorithms.
- Conduct evaluation of analytical output (e.g., model) and regular review of productionized models; refresh/retire models.
- Prepare and present analytical insights that effectively describe complex quantitative methods in clear and concise communications to business users and stakeholders.
- Conduct strategic planning and develop data science & AI capabilities for MHA; work with relevant units to drive adoption of data science & AI in officers' daily work and advise business users on applying data science approaches to operational challenges.
- Keep abreast of latest technological advances in data science and AI techniques.
- Degree in a quantitative discipline that involves data science/analytics, statistics, applied mathematics or scientific computing, or related fields.
- Strong understanding in one or more areas: artificial intelligence algorithms; machine learning and deep learning; data mining and knowledge discovery; statistical forecasting methods; link analysis; natural language processing.
- Proficient in ML/AI scripting languages (Python, R) and data query languages such as SQL.
- Candidate with knowledge or experience in DevOps / MLOps will have an added advantage.
- At least 2 years of working experience in AI/ML.
- Excellent critical thinking, data analysis and problem-solving skills.
- Excellent written and verbal communication skills; ability to translate complex AI/ML concepts into actionable insights for non-technical stakeholders.
- Excellent interpersonal and stakeholder management skills; ability to work under tight timelines.
- Self-motivated, open-minded, resourceful and meticulous; able to work independently and within teams.
- Quick learner with the ability to implement new technologies.
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance. As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment. All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.
Seniority level- Associate
- Full-time
- Information Technology
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