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.
Role & Responsibilities
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
Additional Responsibilities
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
Requirements
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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Details
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
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