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.

Responsibilities

• • 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• • Communicate insights clearly, challenge outdated practices, and lead pragmatic improvements.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.

• Required Skills

• • 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.

• Required 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 a legal entity within Outfit7 group (taking into consideration the specifics of candidate location and preferences) 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 policies).

• Marketinški podatkovni analitik IV.

• 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: 30.5.2026.

• Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy.