Data Scientist
Singapore, Singapore
Job Description
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- Collaborate with stakeholders to understand needs for actionable insights
- Work collaboratively with stakeholder to refine business questions and translate business needs into analytics and data requirements
- Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals
- Provide rationale, business cases and ROI models to support investment
- Execute both exploratory data analysis to identify trends and data analysis to solve business problems.
- Develop of analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.
- Support the rollouts, upgrades, implementation and release of analytics system changes
- Ideate intelligent algorithms to operate on large data sets
- Keep abreast of existing and emerging scientific principles/theories/techniques
- Plan project timelines and resources needed
- Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints
- Apply project management tools and processes to ensure project is cost-effective and identify any project risks
- Prepare project status reports for stakeholders
- Communicate project objectives at critical junctions to obtain buy-in from all stakeholders
- Provide advice on high-level Advanced Analytics solution designs.
- Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.
- Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.
- PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
- At least seven (7) years\xe2\x80\x99 experience in providing data science or advanced analytics advisory, especially in designing and implementing data science or advanced analytics solutions on large datasets
- Deep understanding of statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques and a track record of solving problems with these methods.
- Proficient in tools such as R/SAS/SPSS/Python.
- Excellent communication, relationship skills and a strong team player.
- Demonstrate good, in-depth knowledge in relevant hardware/software products, frameworks and methodologies.
- Experience with
- databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
- data repository design (e.g. operational data stores, dimensional data stores, data marts)
- data interrogation techniques (e.g. SQL, NoSQL).
- structured and unstructured data analytics.
- Deep understanding of analytical models and methodologies \xe2\x80\x93 especially in the context of health analytics for clinical use and clinical safety (e.g. data mining, predictive analytics).
- Comfortable working independently to carry out data analysis, estimate resource requirement and managing timeline. Understanding and analysing huge volumes of data drawn from heterogeneous sources / repositories.
- Advance knowledge of Excel features and techniques required for the presentation of data
- The ability to work towards strict and conflicting deadlines, be able to plan and prioritise in an environment with multiple stakeholders.
- Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
- A good understanding of Singapore Healthcare System
- An understanding of healthcare data governance, data acquisition and data management would be an advantage.
- Experience in interacting with analytics stakeholders (economists, statisticians, clinicians, policy makers) on a business or domain level would be preferred.
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Job Detail
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Job IdJD1294459
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationSingapore, Singapore
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EducationNot mentioned