Data Science Analyst

Overview

Data Science Analyst - Modelling & Publication (Data Analytics & AI) role at Synapxe. The Data Science Analyst analyses data through application of scientific methods and data-discovery tools. They integrate and prepare large and varied datasets, and model complex business problems. They discover business insights and identify opportunities through statistical, algorithmic, mining and visualisation techniques. They assist with architecting specialised database and computing environments, developing methodologies, performing analysis, summarising results and developing conclusions. They possess a combination of analytic, machine learning, data mining and statistical skills as well as experience with algorithms and coding. They have a deep passion for analysing and resolving complex business problems and engage with stakeholders to understand business issues.

• Manage projects
• Assists in the conceptualization of analytical projects
• Maintain project plans and status reports for all incoming and active projects
• Provide subject matter expertise to stakeholders throughout the analytics lifecycle
• Prepare documentation to outline data sources, models and algorithms used and developed
• Prepare data sets: Drive data collection efforts, assist with developing new data-discovery tools, extract data from data sources, propose new uses for existing data sources and structures, integrate multiple data sets to build large and complex data sets, apply programming abilities to scrub, combine, and manage data from a variety of sources
• Analyse data: Apply data mining techniques and programming skills to investigate leads, identify patterns, and regularities in data; develop data models based on advanced statistical modelling, data mining, and machine learning methods; implement automated processes for efficiently producing scale models; identify areas of improvement of current processes, products/services or analytical models
• Present insights: Develop actionable recommendations; develop compelling, logically structured presentations including storytelling of research/analytics findings; guide stakeholders on how to act on findings

• Research on latest technologies and applications in the healthcare space
• Perform literature reviews and identify innovative technologies with potential application and impact in healthcare, focusing on adaptation of language and multimodal models to healthcare-specific use-cases
• Identify pain-points and formulate problem statements relevant to healthcare use-cases where novel technologies can be applied
• Identify appropriate data sources for technology testing
• Perform Proof-of-Concept (PoC) studies to demonstrate feasibility and document outcomes rigorously
• Support the implementation of AI-related policies within Synapxe
• Help in publication strategy and writing/reviewing papers
• Search and identify suitable peer-reviewed journals for publication of studies or projects conducted by the Synapxe Data Analytics and AI team
• Contribute to drafting, reviewing, and editing manuscripts following rigorous scientific writing style and standards
• Contribute ideas to improve quality and acceptance likelihood of manuscripts
• Liaise with external vendors/stakeholders to establish successful collaborations

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background with experience in computer vision, deep learning, and image/signal data processing/analysis algorithms
• Proficiency in Python for data processing and model development; familiarity with Git and GitHub repositories
• Ability to browse and retrieve articles and information from journal sites and scientific literature libraries
• Scientific writing skills; understanding of manuscript submission guidelines and publication process
• Experience with tools to create publication-quality figures; familiarity with reference managing tools is a plus
• Knowledge of hypothesis testing and statistical tests is a plus
• Knowledge on digital technologies and AI policies in the Government sector and experience with strategic planning and management in healthcare institutions
• Ability to communicate effectively and present results and findings; ability to multitask and work in a multidisciplinary team
• Adaptability to a constantly evolving environment; ability to document work comprehensively and rigorously

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• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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