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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