Jr. Data Scientist

Company Description

Papcorns is a mobile app studio building design-driven mobile products used by millions of people around the world. Our apps reach more than 10 million users and are frequently featured by Apple and Google. We believe great products are built by curious people who enjoy learning and experimenting. At Papcorns, we focus on developing AI-powered mobile apps in the Utilities, Photo & Video, and Lifestyle categories, mainly for the US market. Our team builds and scales multiple products while constantly exploring new technologies. As our products and user base continue to grow, we are looking for a curious and motivated Junior Data Scientist who wants to grow with us.

Role Description

This is a full-time hybrid role for a Junior Data Scientist at Papcorns. You will work closely with mobile engineers, product managers, and designers to analyze user behavior, surface product insights, and help shape data-driven decisions across our app portfolio. This role is a great opportunity to develop your skills in a real product environment and learn how data and AI come together in consumer mobile apps used by millions. The role is based in Istanbul, Türkiye, with flexibility for some remote work.

Qualifications

• 1–2 years of experience in data science, analytics, or a related field
• Proficiency in Python (pandas, numpy, scikit-learn or similar)
• Working knowledge of basic JavaScript
• Working knowledge of SQL and relational databases
• Working knowledge of Git
• Basic understanding of statistics: hypothesis testing, distributions, A/B testing
• Ability to write and maintain code with AI-assisted IDEs (Cursor / Claude Code / similar)
• Ability to collaborate with teammates and communicate findings clearly
• Good command of written and spoken English
  
  

Nice to Have

• Experience with mobile analytics platforms (Firebase Analytics, Mixpanel, Amplitude, or similar)
• Knowledge of In app purchases and Subscription Management platforms (Adapty , Revenuecat)
• Familiarity with machine learning pipelines or LLM integrations
• Exposure to product analytics in consumer app environments
• Knowledge of Google Cloud Platform or BigQuery
• Knowledge of pLTV Modeling and Survival Analysis
  
  

Responsibilities

• Build and maintain dashboards, data workflows and reports that support product decisions
• Analyze user behavior and product metrics across our app portfolio
• Contribute to AI/ML integrations by supporting data preparation, evaluation, and iteration
• Identify trends, anomalies, and opportunities in large datasets
• Continuously learn and improve your analytical and technical skills
  
  

What's in it for you?

• Competitive Salary
• Optional Work From Home Opportunity 3 days a week
• Meal & Commute Compensation
• Private Health Insurance
• Birthday Leave
• Access to Online Courses
• Tech Gear
  
  

What's it like to work at Papcorns?

• Be part of a passionate and fast-moving team where everyone's ideas are valued
• Work on products used by millions of people around the world
• Access to learning and development opportunities
  
  

What does the recruitment process look like?

Application Review — We review your CV to understand your experience and interests.

Interview — A 30-minute Google Meet interview with our co-founders to get to know each other and talk about your expectations.

Case Study — You will complete a small data assignment to demonstrate your approach to problem solving.

Technical Meeting — A Google Meet session with our tech lead to discuss your case study and abilities.

Final Decision — Within a few days, we will inform you of our decision regarding your suitability for the role.