Senior Specialist - Data Scientist (Data Science & AI)

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.

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