Mid/ Senior Data Scientist (f/m/d)

Workplays

Wrocław

Hybrid

PLN 180,000 - 260,000

Full time

3 days ago
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Job summary

Ten Square Games in Wroclaw is seeking a Data Scientist in the R&D team to turn player data into actionable analyses, experiments, and insights. You will collaborate with product, design and engineering to shape future features.

The role requires 2+ years in data analytics or DS, strong Python and SQL skills, and a quantitative degree. Fluent in English and Polish; hybrid work arrangement with 3 days in the office and 2 remote.

Qualifications

  • 2+ years of experience in Data Analytics, Data Science or BI.
  • Strong practical experience with Python and Git.
  • Working knowledge of SQL (Postgres and Vertica).
  • Degree in a quantitative field.
  • Fluent in English and Polish.
  • Passion for games and interest in gaming industry.

Responsibilities

  • Work end-to-end on analytical problems: understand product needs, collect requirements, plan process.
  • Design, build and maintain game data pipelines with data engineers.
  • Conduct complex exploratory and statistical analyses using Python and internal tools (segmentations, clustering, modeling).
  • Build visualizations and communicate insights clearly to non-data colleagues.
  • Set KPIs and run A/B tests to optimize player income.
  • Organize work and support a junior, lead 1–2 meetings per week.
  • Share insights proactively and suggest process improvements.

Skills

Python
Git
SQL
Data analytics
Analytical thinking
Proactive

Education

Degree in a quantitative field

Tools

Looker
Power BI
Tableau
Streamlit

Job description

Work model:

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! We are on a mission of giving players excellent outdoor experiences on their mobiles. With 77 million registered players in 2024 and 300+ people on board, we keep growing and learning.

What is this job all about?:

In the R&D team, our Data Scientists (f/m/d) help improve the gaming experience for our players. You'll work hand-in-hand with product, design, and engineering teams to turn complex player data into deep analyses, experiments, and insights that shape what we build next. You'll translate business and product questions into analytical problems and their results into clear recommendations.

What will you be doing?:
  • Work end-to-end on analytical problems: understand product needs, collect requirements, plan process.
  • Work with data engineers to design, build, and maintain game data pipelines aligned with reporting and analytics.
  • Conduct complex exploratory and statistical analyses in Python and internal tools, including segmentations and sometimes clustering/modeling/simulating.
  • Build visualizations and develop numerical intuition in non-data colleagues.
  • Set KPIs and implement A/B tests to optimize player income.
  • Organize work and support a junior, lead 1-2 meetings per week.
  • Share insights proactively and suggest process improvements.
Requirements:
  • 2+ years experience in Data Analytics, Data Science, or BI.
  • Strong practical experience with Python and Git.
  • Working knowledge of SQL (Postgres and Vertica).
  • Data-driven mindset and strong analytical thinking.
  • Proactive, self-motivated, results-oriented.
  • Strong problem-solving skills with large datasets.
  • Degree in a quantitative field.
  • Passion for games and interest in gaming industry.
  • Fluent in English and Polish.
Amaze us with:
  • Experience with Looker, Power BI, or Tableau.
  • Experience building interactive dashboards with Streamlit.
  • Familiarity with regression, classification, clustering.
  • Experience in mobile gaming industry.
  • Experience designing, running, analyzing A/B tests.
What do we offer in return?:
  • Real impact on product through analytical work.
  • Hands-on experience with modern tech stack and large-scale data.
  • Learning and development opportunities working with Senior Analysts and Head of R&D in a team of 20 R&D professionals.
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