Data Mining Engineer (Ecological Park Agriculture Inc)

Overview

We are looking for someone who possess advanced understanding of programming, software engineering, and data science, and has rich practical experience in algorithm development and advanced programming skills.

Job title: Data Mining Engineer

Job Type: Full-time and permanent

Salary range: $ 35-41/hour, 40 hours a week

Location: 12155 Riverside Way, Richmond, BC, Canada

Tel:1-604-275-9642

About Us

Ecological Park Agriculture Inc. (DBA Luniu Mall) has both wholesale and retail businesses. The warehouse is located at 12155 Riverside Way, Richmond, BC Canada. Ecological Park Agriculture Inc. has its own farm located at 3345 224 St in Langley, which covers an area of 81 acres. Ecology, environmental protection, and sustainable development are at the core of our business philosophy. Our farm is committed to healthy life from farm to table.

Luniu Mall is a fresh food distribution platform. Relying on the online e-commerce platform, we provide users with fresh fruits and vegetables and high-quality foods from around the world. We put particular emphasis on purchasing from the source and expedite and professional cold storage shipping and delivery.

Our aim is to simplify the shopping experience for your daily essentials, so you have more time to focus on everything else you enjoy in life. Come join us for great experience and growth!

Responsibilities Will Include, But Not Be Limited To

l Create, test, maintain and upgrade data structure, algorithms and systems, and develop predictive models according to company’s objective

l Improve data quality and system efficiency, reduce bugs and errors;

l Develop customized algorithms to read, collate, summarize and assemble large and complex data sets based on project requirements

l Spearheaded the design of new artificial intelligence (AI) capabilities into various systems, like online intelligent customer service system; Build AI models from scratch, improve the efficiency of artificial intelligence systems;

l Design, implement, deploy and continuously optimize algorithmic solutions in product matching, price comparison etc. to support advanced data analysis

l Actively recognize and control the risk/low quality issue in in the e-Commerce scenario;

l Assess the value of latest solution-enhancing developments and present detailed proposals as appropriate

l Participate in all aspects of the software development cycle, design, development, and testing;

l Coordinate and support the development and deployment appropriate software components & hardware components;

l Work with software developers and database architects on information system integrity and compatibility and ensure optimal data delivery architecture is consistent throughout ongoing projects

l Continuously maintain and improve the robustness, stability, and computational efficiencies of algorithm solutions in live business environment

l Other tasks as assigned

Skills / Qualifications

l Language: English

l BSc/MSc in Computer Science, Mathematics, Physics, Engineering Science, Technical, Math or related field

l 4+ years of professional experience in software development and engineering skills in Math/Algorithm Development

l Understand deep learning algorithms, like a convolutional neural network, recurrent neural network, and generative adversarial network

l Familiar with commonly used algorithm models (such as CF, FM, Word2vec, LR, GBDT, DNN)

l Advanced coding skills in Python, Java, Scala, C++ or JavaScript, etc.

l Knowledge about database systems and data warehousing

l Excels at mathematics, statistics, and numerical computation

l Strong project management and organizational skills

l Problem-solving skills, time management, teamwork, and critical thinking ability

l Aptitude for developing and integrating machine learning capabilities into custom systems

l Good oral and written communication skills

l Cross-team collaboration skills

What You Get

l Be part of a fast-growing company that offers a challenging and fun work environment

l Opportunities for upward mobility and career growth

l Competitive compensation

If you're interested in this position, please send your CV to [email protected].

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