Senior Specialist - Data Science Analyst (Data Science & AI)

Synapxe; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Synapxe is seeking a Data Scientist to analyze data using scientific methods and advanced analytics. The role focuses on integrating diverse data sources, building models, and deriving business insights through statistical and machine learning techniques.

Strong programming and stakeholder communication are essential to translate findings into impact. The candidate will work on data preparation, model development, and deployment considerations, collaborating with cross-functional teams to shape

Qualifications

• PhD or Master's in a quantitative field.
• Experience with Python or R.
• Experience with deep learning frameworks TensorFlow, Keras, PyTorch.
• Hands-on experience with image classification / object detection.
• Experience with SQL and NoSQL preferred.

Responsibilities

• Assist in 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 and integrate multiple data sets to build large datasets.
• Present insights and develop actionable recommendations for stakeholders.

Skills

Python

R

Deep learning

Data mining

Communication skills

Education

PhD or Master's in quantitative field

Tools

TensorFlow

PyTorch

Keras

SQL

NoSQL

Job description

Position Overview

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.