Canopy
CL1CK (HK)

CL1CK (HK) - Data Scientist

Mid Level
Hong Kong
Data Scientist
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About Us

CL1CK (R3A Group Limited) is an early-stage start-up operating in the e-commerce industry. Our mission is to personalise every customer buying journey with dynamic pricing and promotions. We aim to empower e-commerce businesses with the ability to increase their revenue in just one click (hence our name!). We launched publicly in early 2022, and have early traction with users and partners. We are incubated at Cyberport and Ooosh Tech Lab, and currently finalising our pre-seed funding round.

Who we're looking for

We are looking for a Data Scientist to join our fast-growing company to accelerate our product development and make significant impact towards achieving our goals. We are a fun, agile, and fast-paced team, ready to work together to develop cutting-edge technology together and deliver value for businesses and shoppers around the world.

What you will be doing
  • Ensure the accuracy and quality of data of our product
  • Utilize Machine Learning techniques for ideating and developing models structures based on gathered datasets
  • Review, update and optimize the prototype models using internal datasets, produce further analysis of efficacy and explore implications
  • Analyze website and e-commerce performance to provide key insights (trends, patterns, irregularities), with an aim to enlarge loyal customer base and boost sales overtime
  • Segment our users’ e-commerce websites’ performances based on key categories to produce meaningful insights to customers
  • Providing technical expertise in data storage structures, data mining, and data cleansing.
Who you are
  • A Bachelor's degree majoring in Computer Engineering, Computer Science, Statistics, or relevant disciplines
  • 2+ years of working experience in data analysis, preferably with e-commerce data analysis experience
  • Previous experience in manipulating, processing large datasets and data mining.
  • Have proficient programming skills in Python and SQL
  • Proficient in statistical tools including Colab, Tableau, Jupyter, Excel, RDS or any related software
  • Proficient in Git, and git-related tools
  • Strong interpersonal and communication skills, agile and comfortable working in a fast-paced and lean environment
  • Experience in IT application software development cycle, including requirement collection, design, implementation, testing and rollout

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5/F, Entrepreneurship Centre, Core F, Cyberport 3, 100 Cyberport Road.
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