Data Scientist
Credit Key- Full Time
- Junior (1 to 2 years)
Candidates should be pursuing a Bachelor's or Master's degree in a STEM discipline such as Computer Science, Statistics, Mathematics, Engineering, or a similar program, possessing a basic understanding of statistical concepts and data analysis methods, including descriptive statistics and A/B testing, familiarity with machine learning concepts, familiarity with python and relevant libraries (e.g. numpy, pandas, scikit-learn), basic SQL skills (e.g. joining, grouping, filtering), and the ability to work on multiple tasks and projects concurrently.
The Data Science Co-op will assist in identifying potential areas where data science and machine learning can enhance products and operations, query databases to extract relevant game data and assist with exploratory data analysis, hypothesis testing, and feature engineering, support the development and evaluation of machine learning models aimed at improving in-game features and key product metrics, communicate project goals, progress, and preliminary outcomes to various stakeholders, gain exposure to various data science methodologies including statistical analysis, A/B testing, and machine learning techniques, develop proficiency in using data analysis and programming tools, assist in setting up and preparing data science projects, contribute to data collection efforts, and support overall data science projects.
Curated gifts including jewellery and accessories
Kabam offers a variety of unique gifts, particularly focusing on jewellery, bags, and accessories. Their product range includes styles that range from kawaii and kitsch to vintage and modern, with a strong emphasis on hand-crafted semi-precious items. Kabam caters to a diverse group of customers who are looking for distinctive and personalized gift options. The company operates in the retail market by sourcing and selling high-quality, niche products that appeal to consumers who appreciate originality and craftsmanship. Revenue is generated through direct sales on their online platform, targeting those who value unique and stylish items.