Data Scientist

1 month ago


Singapore SYNAPXE PTE. LTD. Full time
Roles & Responsibilities

Job Description:

  • 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.

Requirements / Qualifications

  • PHD/Masters/Bachelors in Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines
  • At least seven (7) years’ 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
  1. databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Greenplum)
  2. data repository design (e.g. operational data stores, dimensional data stores, data marts)
  3. data interrogation techniques (e.g. SQL, NoSQL).
  4. structured and unstructured data analytics.
  • Deep understanding of analytical models and methodologies – 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.

Tell employers what skills you have

Machine Learning
statistical modelling
Data Analysis
Natural Language Processing
Healthcare
Physics
Mathematics
Data Management
MySQL
Predictive Analytics
Data Governance
Data Mining
SQL
Data Science
Data Analytics
Databases
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