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Junior Data Scientist (f/m/d)
Posted by Ten Square Games on 22 October 2026. Still on their Recruitee board when we checked 22 min ago.
What the posting is about
Join Ten Square Games as a Junior Data Scientist to impact products from day one. Work full-stack on data journeys, shape game titles, and collaborate with a supportive team. Requires a quantitative background, SQL, Python, and a passion for games.
Read out of the posting
Leveljunior
Experience askedNot stated
EmploymentFull time
LocationWroclaw, Dolnośląskie, Poland
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-10-22
Found viarecruitee, direct from their system
We had it within the hour it went up.
The posting, as the company wrote it
Employment: fulltime permanent
Experience: entry level
HYBRID WORK MODEL: 3 DAYS PER WEEK (60%) IN OUR WROCLAW OFFICE AND 2 DAYS REMOTE
About us
Hi, we are Ten Square Games , and we live games! No, not a typo - but a level up from loving! We are on a mission of giving players excellent outdoor experiences on their mobiles. With global hits, such as Fishing Clash, we know how to make the best of technology, fun, and fair play. With 77 million registered players in 2024 and 300+ people on board , we keep growing and learning, having the insatiable hunger for the next success. If you also like to explore the unknown and know how to own it, we want to work with you!
What is this job all about?
By joining TSG as a Junior Data Scientist , you’ll become a full-fledged member of the team, which means you’ll have a real impact on our products from day one. Don’t worry, though! We’ll make sure you have our support every step of the way. Do you want to Unlock Excitement? Check out what we have in store for you.
This position may not be right for you if you:
Come from different academic backgrounds than data science, mathematics, computer science, economic analysis, or econometrics;
Lack a solid foundation in statistics;
Have no experience with SQL or databases;
Are not comfortable analyzing large datasets;
Are not interested in games;
Are not available full-time.
What will you be doing?
We work as “full-stack” analysts. You will be responsible for the entire data journey - from gathering requirements and designing ELT workflows to delivering final visualizations;
You will play an active role in shaping the future of the game title by proactively sharing insights with the game team, suggesting process improvements, and shaping analytics practices;
You will work closely with our data engineers to design, build, and maintain game data pipelines, aligning them with specific reporting and analytics requirements;
More specifically, in this role, you will learn how to:
understand product and data-related needs, and effectively collect requirements, then plan the end-to-end process;
learn how to develop and maintain user-friendly dashboards and support others in using them effectively;
set KPIs and implement A/B tests to optimize player income throughout the game lifecycle;
use Python to conduct exploratory and statistical analyses and tackle product problems such as matchmaking, player segmentation, and more.
What are we looking for?
Academic background in a quantitative field such as data science, mathematics, computer science, economic analytics, econometrics, or a related field;
Hands-on experience through university projects, internships, or first commercial experience;
Knowledge of SQL (we use Postgres and Vertica );
Working knowledge of Python , including analytical libraries;
Basic statistical knowledge;
Availability for full-time work;
A data-driven critical thinker with analytical experience;
Proactive and results-driven;
Strong problem-solving skills, with the ability to analyze large datasets;
Passion for games ;
Fluent in English and Polish.
Amaze us with:
Olympiad achievements (e.g., in mathematics or computer science);
Exposure to A/B testing;
Exposure to Python.
What do we offer in return?
Real impact on the product through analytical work that delivers quickly measurable results;
Hands-on experience with a modern technology stack and large-scale data (tens of terabytes and millions of active players);
Strong learning opportunities through close mentoring and collaboration with experienced senior analysts , combined with a supportive and collaborative R&D team environment (20 people).
Please submit your CV in English.
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