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Senior Data Scientist at Ace Resource Advisory Services Sdn Bhd (Kuala Lumpur, Malaysia)

Introduction
We are keen on talented individuals who are curious and investigative by nature, passionate about numerical patterns, strongly motivated, to complement our team of data scientists from various backgrounds. Our organization thrives on knowledge as a basis for advancement into the era of Industry 4.0, and constitutes of imminent persons with vast experiences, doctorates, to mentor and guide the suitable candidates towards a successful career in data science and artificial intelligence. While work experiences and skills are advantageous, we do consider personality attributes and vocational interests.

Responsibilities
To lead and execute projects based on corporate digital transformation strategies.
To work independently or in team collaboration in sharing and generating insights based on data mining, visual/descriptive analytics, machine learning, using any suitable statistical/numerical techniques.
Deliver business solutions and assist business groups in their quest for higher productivity, quality and process efficiency.
Lead, coach and delegate tasks where applicable, such as in continual improvement of predictive models for better incremental value.
Initiate research, experimentation, development of new approaches in high value projects deliveries where applicable.

Requirements
Degree/Masters/PhD. in Computer Science/ Software Engineering/ Computational Statistics/Physics, or any other related computational/ quantitative discipline.
Excellent command of spoken and written English.
Object oriented programming knowledge, such as Java, Scala, R, Python advantageous.
Exposure to A.I. and analytics platforms, such as Azure ML Studio, Google AI Engine, Alibaba ET Brain, H2O A.I., SAS, TIBCO Spotfire, MATLAB, and etc.
Exposure to structured/unstructured data, SQL and NoSQL big data storage solutions, cloud computing, REST API, and cloud microservices.
Experience in building solutions such as computer vision, NLP, time series forecasting, general prediction models.
Comfortable in analysing large, complex, multi-dimensional datasets with a variety of open source tools.
Skills in specific OS, tools/libraries, such as RHEL, Ubuntu, OpenCV, H2O, Spark, TensorFlow, Anaconda, MRO, Cran-R.