As Lead Data Scientist in Zedge, you will be leading the team of Data Scientists working on recommending content and improving search for our Wallpapers and Ringtones app. Your strategies will help us gain insight into how the app is used, and you will design changes based on data. Knowledge about the users will help you personalize the experience in the app.

With tens of millions of monthly active users globally, you will have access to a large pool of interaction data. You will be able to test improvement hypotheses quickly, and get statistically significant results. You will forecast the impact of the improvements and help decide what to improve next.

You will be part of an agile team with focus on continuous improvement of our products. Our work environment is open, supportive and curious, and your decisions will be in collaboration with your peers.


πŸ’ͺ Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)

πŸ’ͺ Development experience in least one programming language (like Python, R, Java, or C++)

πŸ’ͺ 3+ years of industry experience solving analytical problems and building models using quantitative, statistical or machine learning approaches

πŸ’ͺ Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis

πŸ’ͺ Experience with Machine Learning, Statistics, or other data analysis tools and techniques

πŸ’ͺ Experience performing data extraction, cleaning, analysis and presentation for medium to large datasets

πŸ’ͺ Experience writing SQL queries

πŸ’ͺ Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or ggplot2

πŸ’ͺ Collaborative skills

πŸ’ͺ Previous experience with managing a team is a plus

πŸ’ͺ Proficiency in algorithmic complexity is a plus

πŸ’ͺ A valid work permit to work in EU countries (if the candidate is not an EU resident).


⚑️ Leading our team of Data Scientists

⚑️ Planning, executing and concluding statistical hypothesis testing

⚑️ Communicating recommendations and driving product decision-making

⚑️ Designing recommendation algorithms

⚑️ Structuring, maintaining and analyzing Big Data

⚑️ Understanding and segmenting users

⚑️ Predicting user behavior

We offer:

πŸ’° Monthly compensation of EUR 3300-5000 gross

πŸ§‘πŸ»β€πŸ’» Very little technical debt - we write most of the software from scratch, constantly learn and use the newest technologies

🏑 We are remote-first and we will continue to be - there is no need to go to the office, but you can choose what's best for you

🎈 Perks:

  • 🩺 Private health insurance (that includes gym, mental health and many more things);
  • πŸͺ‘ Home office budget (whatever you need – noise-canceling headphones, gaming chair, etc.);
  • πŸ€“ Learning budget (a solid amount that can be spent using up to 10% of your working time);
  • πŸ” Wolt gift cards each month;
  • πŸ“š Free books of your choice;
  • πŸŽ‰ Extra day-off on your birthday;
  • 🏒 24/7 access to our office located at the city center.

Only selected candidates will be informed.