Senior Specialist - Data Scientist (Data Science & AI)

Synapxe; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Synapxe, the national HealthTech agency in Singapore, seeks a Data Scientist on a 2-year direct contract. You will analyze data using statistical, data-mining, and ML methods, build models, and translate insights into business actions.

You will architect data environments, prepare datasets, and collaborate with stakeholders to solve complex health systems problems. The role requires strong Python/R skills, deep learning experience (TensorFlow/Keras/PyTorch), and hands-on work with image/signal

Qualifications

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent.
• Solid research and engineering background and experience in computer vision, deep learning, and image/signal data processing/analysis algorithms.
• Good experience with Python or R is prerequisite.
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite.
• Hands on experience in the development of image classification, object detection, segmentation, signal data pattern recognition or related is preferred.
• Good experience with SQL and/or NoSQL is preferred.
• Preferably, 3 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means.
• Ability to work independently.
• Model deployment experience is preferred.

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.
• 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 build software to scrub, combine, and manage data from a variety of sources.
• Apply data mining techniques and programming skills to investigate leads and patterns.
• Develop data models based on advanced statistical modelling, data mining, and machine learning methods.
• Implement automated processes for efficiently producing scale models.
• Identify areas for improvement of current processes, products/services or analytical models.
• Develop actionable, presentation-ready recommendations.
• Create compelling presentations with narrative insights for stakeholders.
• Guide stakeholders on how to act on findings.

Skills

Python

R

Data analysis

Communication

Independent work

SQL

Education

PhD or Master’s in a quantitative field

Statistics

Information Technology

Engineering

Tools

TensorFlow

Keras

PyTorch

NoSQL

SQL

Job description

Company description

Synapxe is the national HealthTech agency inspiring tomorrow's health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore.
Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere. Reimagine the future of health together with us at www.synapxe.sg

Job description:

Position Overview

This is a 2 years Direct Contract with Synapxe
The Data Scientist analyzes data through application of scientific methods and data-discovery tools. The role integrates and prepares large and varied datasets, and models complex business problems. The position discovers business insights and identifies opportunities using statistical, algorithmic, data-mining, and visualization techniques. The incumbent assists with architecting specialized database and computing environments, developing methodologies, performing analysis, summarizing results, and developing conclusions. The candidate possesses a combination of analytic, machine learning, data mining, and statistical skills as well as experience with algorithms and coding.

The incumbent demonstrates a deep passion for analyzing and resolving complex business problems. The candidate displays intellectual curiosity about business needs and the capability to 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 whole 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 build software 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

• Assist with the development of actionable recommendations
• Develop compelling, logically structured presentations including story-telling of research/analytics findings
• Guide stakeholders on how to act on findings

Requirements

• PhD or Masters in a quantitative field such as Mathematics, Statistics, Information Technology, Physics, Engineering, Finance or equivalent
• Solid research and engineering background and experience in computer vision, deep learning, and image/signal data processing/analysis algorithms.
• Good experience with Python or R is prerequisite
• Good experience with Deep learning framework e.g. Tensorflow, keras, Pytorch is prerequisite
• Hands on experience in the development of image classification, object detection, segmentation, signal data pattern recognition or related is preferred.
• Good experience with SQL and/or NoSQL is preferred
• Preferably, 3 years of relevant working experience.
• Proven communication skill to explain insights from technical work to non-technical audience through presentation or other means
• Ability to work independently.
• Model deployment experience is preferred.