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DATA SCIENTIST (BI ANALYST) At Kiss Products, Inc.

Location: Headquarters, British Columbia

Job Description

Position Summary:
The position will make value out of data by creating and developing various machine learning-based tools or processes within the company. It will also proactively fetche information from various sources and analyzes it for better understanding about how the business performs, and to build AI tools that automate certain processes from new product development to marketing analytics and to ecommerce.


  • Responsibilities:
  • Play a leading role in the use of sophisticated algorithms and data mining strategies
  • Significantly contribute to the development of data-related products and services
  • Execute the company’s data mining and modeling activities in support of ecommerce targeting and digital media marketing goals
  • Develop and maintain ongoing data exploratory analyses against internal and exterbakkt provided data
  • Support the business teams to solve complex analytical challenges
  • Conduct studies, tests and use advanced data mining and modeling techniques to build solutions that optimize the quality and performance of the company’s data
  • (KSA) knowledge/experience, skills, & ability:
  • Minimum of 3+ years relevant analytics and data mining & modeling work experience
  • Proven ability to develop and productionalize sophisticated data mining & modeling solutions
  • Working experience with relational database management system (RDBMS) and a strong knowledge of SQL
  • Expert level knowledge of Python, R, Spark
  • Ability to oversee multiple projects
  • Attention to detail
  • True commitment to excellence, and full ownership of your responsibilities
  • Strong English and communication skills; experience collaborating with and presenting to internal and external stakeholders
  • Attitude/ Attribute – Professionally passionate and positive attitude to the position and ready to roll in the Kiss Cultural environment is required
  • Bachelor’s degree in Marketing / Statistics / Computer Science / Management
  • Advanced degree in statistics, computer science, or machine-learning related fields preferred
  • Experience in marketing analytics, including marketing response modeling and customer segmentation, or experience in online media and the adtech ecosystem is advantageous