Internship Python Scrapy Jobs (NOW HIRING)

“Kawaii” (Japanese for cute) is now the #1 subculture for women globally. Blind boxes. Claw machines. Gashapon machines. But most importantly... never-ending cuteness.

Founded by a former TikTok executive, Utopic aspires to be the next big name in kawaii culture. By building a live service mobile game and portfolio of collectible toys, we aim to popularize a new generation of cute characters for kawaii fans around the world. 

We are looking for a Data Science Intern to help us dissect the kawaii landscape across digital content, content creators and video games. You'll cover a wide range of tasks including data scraping/crawling, clustering, tagging, ranking and reporting. This is a remote paid internship role. Join us to create a cultural phenomenon.

What you'll do:

• Define data scraping parameters, build data scraping scripts and clean up data for analysis
• Apply clustering techniques to group communities, creators, social media content, and games by proximity and similarity
• Design data sampling approaches, refine clustering parameters and improve recall and accuracy rates 
• Design criteria for and automate data tagging and ranking to better surface patterns and insights for the team
• Create visualizations and reports for non-technical team members 

What you'll bring:

• Degree in Computer Science, Statistics, Data Science, or a related field
• Proficiency in Python, SQL
• Experience with web scraping/crawling libraries (e.g., BeautifulSoup, Scrapy, Selenium)
• Familiarity with data analysis libraries (Pandas, NumPy) and clustering/ML libraries (scikit-learn)
• Strong understanding of statistics, sampling methodology, and unsupervised machine learning concepts
• Passion for otaku/kawaii culture, gacha/cozy games, and toy collecting preferred

Pay range:

The hourly rate range for this position is between $19–$38/hour USD for US-based candidates, £13–£30/hour GBP for UK-based candidates. This range is indicative of projected hiring range, however annual base salary will be determined based on a candidate’s work location, skills and experience. Candidates outside of the US and UK are welcome to apply.