Senior Marketing Data Scientist

Where data meets decisions! Join us as a Senior Marketing Data Scientist and turn complex data into smarter marketing moves. From experimentation frameworks to profitability models, you’ll contribute to success and help shape data-driven marketing at Outfit7.

Locations

Ljubljana, Slovenia

Recruiter

Neja Rozman

Neja Rozman

Talent Acquisition Specialist

[email protected]

Employers

Ekipa2 d.o.o

In this role you will

  • Collaborate with Distribution and Product teams to identify opportunities to improve distribution.
  • Proactively discover and drive new data-driven approaches to optimize distribution.
  • Work on ad hoc projects that support company strategy.
  • Present and share new methodologies and best practices internally and externally.
  • Build and maintain clean, scalable data pipelines and internal tools that reduce manual work, minimize errors, and enable at-scale optimization.
  • Develop robust experimentation frameworks and perform analyses to support profit growth and distribution optimization.
  • Communicate insights clearly, challenge outdated practices, and lead pragmatic improvements.
  • Optimize data processing workflows to improve efficiency and performance.
  • Advise the Marketing team on test design and experimental setups based on data insights.
  • Contribute analytical perspectives to discussions and suggest improvements to campaign performance.
  • Analyze results from various experiments and tests.
  • Implement mathematical models to optimize the performance of Outfit7's marketing campaigns.

What we’re looking for

  • Strong problem-solving skills with the ability to understand data and identify key trends.
  • Advanced data analysis skills, particularly in SQL and R or Python.
  • Ability to work efficiently in a fast-changing environment.
  • Excellent communication and presentation skills; fluent in English (written and spoken).
  • Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets.
  • Proficiency in reporting and explaining complex results to stakeholders from diverse professional backgrounds.
  • Excellent attention to detail and a continuous-improvement mindset.
  • A positive, proactive, lead-by-example attitude.

Your experience

  • 5+ years of experience in a data scientist role, ideally in mobile gaming, performance marketing or related fields (you should know how to use data to help with business decisions).
  • Proficiency in R or Python, primarily for statistical analysis, data manipulation, and visualisation.
  • Experience with data analysis, reporting, and monitoring.
  • Experience with data-oriented tools, such as SQL; familiarity with DBT is a plus.
  • Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets.
  • Experience working with teams from different departments.
  • Experience in leading a smaller team would be a plus.

What we offer

  • Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period.
  • Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
  • Participation in attractive projects.
  • Development opportunities through training, seminars, and conferences.
  • Choice of sport, fitness, educational, and entertainment activities outside of work.
  • Healthy meals in the office.
  • Flexible working hours.
  • 24 days of paid vacation.
  • Participation in a discretionary bonus plan.
  • Christmas bonus (subject to internal company policies).

Povzetek delovnega mesta:

Marketinški podatkovni analitik IV. (M/Ž)

Zahtevane so izkušnje iz področja podatkovne znanosti, idealno v performance marketingu, mobilnih igrah ali sorodnih področjih. Sklenitev delovnega razmerja nudimo za nedoločen delovni čas s šestmesečnim poskusnim delom v podjetju Ekipa2 d.o.o., s sedežem v Ljubljani. Rok za prijavo: 28.2.2026.

We're game makers at our core.

We're game makers at our core.

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