Junior Data Scientist

Job description

We are looking for a passionate Junior Data Scientist, with 0-2 years of experience, to join our second-stage rocket ship! 🚀

As a data scientist, you are at the origin of our next product features. You’ll join a team of data scientists who work hand-in-hand with the Product team, developers, and ASO Experts to build machine learning and statistical algorithms that empower our software. Our projects cover most of the standard spectrum of data science from classifiers and regressors on tabular data, to natural language processing, outliers detection in time series, or even computer vision. Our sector moves fast, and so do we: we remain on the cutting edge. These new features will be used by over 1500 customers worldwide, including mobile leaders like Paypal, Warner Bros, Expedia, Electronic Arts, etc.

You’ll join a team of 4 data scientists, you report to our head of Data Science and weekly sync with the CEO, CTO and CPO.

If you have what it takes to help us grow, we’d love to hear from you!

Your Responsibilities:

  • Ideate, prototype and refine statistical/machine learning/deep learning models with the team to measure or predict mobile apps success

  • Plug & Play with diverse data sources including massive databases fed by >7 years of data from Apple and Google. Help us extract the most value out of it.

  • Come up with deployable analytical models, using cutting-edge technologies to deliver state-of-the-art results.

  • Be creative! We value continuous learning and knowledge-sharing among ourselves.



  • You have a master’s or Ph.D. in Computer Science, Mathematics, or a similar field.

  • Have a solid understanding of statistics and machine learning techniques.

  • Master Python and its data-oriented libraries: Pandas, NumPy, Sklearn.

  • You are fluent in English. French or any other additional language is a plus.

  • Are eager to learn cutting-edge technologies in the field.

  • Team player: you enjoy working with others. You have a proactive attitude and you like to make things move forward.


  • Have a first experience working in a SaaS company, in a similar industry, and/or in a data analytics team

  • Have experience with some of the following: Docker, Git, Flask, FastAPI, AWS (or similar), PyTorch, Tableau

  • Have experience interacting with non-technical profiles (product managers/designers, sales/marketing, clients, etc.)

  • You love food!

Our team’s tech-guilty pleasures include:

  • Using deep transfer learning with Fastai library

  • Making fancy graphs with Tableau and d3js

  • Organizing internal team hackathons to tackle hard problems

What's in it for you?

    1. We care about you

  • An exciting and fast-growing company with a people-first culture. “Diversity” and “work-life balance” are not just buzzwords at AppTweak.

  • Flexibility in your work and opportunities for continuous learning and creative thinking.

  • Supportive and collaborative environment focused on personal growth.

  • Hybrid office/work from home policy.

  • 20 paid holidays per year + 12 days RTT on top of the fundamentals (meal vouchers, annual “éco-chèques”, hospitalization & group insurance, end-of-the-year bonus, etc.)

  • Fresh fruits, nuts, and snacks self-serve in the office.

  • 1 volunteering day every quarter dedicated to helping a Brussels-based organization.

  • Chance to discover new food recipes, because yes, we love food!

    2. An inspiring environment

  • A unique company culture based on 4 values: Learn, Play, Perform, Friendly.

  • A diverse team within a flat hierarchy. Altogether we speak more than 15 languages.

  • Bi-yearly company-wide team building in Europe to meet your colleagues from all over the world.

  • A combination of personal and company growth to accelerate your career and help you reach your goals.

  • Regular general team meetings and demo days to make sure everyone is aligned with AppTweak's growth path, mission and vision.

✨ Our recruitment process ✨

  • A first video call with Inès (Data Scientist) and/or Jonathan (Head of Data Science), to get to know each other and tell you more about AppTweak (1 hour)

  • A take-home test to evaluate your skills related to the position.

  • 2nd interview: case debrief with the team (1 hour) to share feedback. 

  • Team fit.