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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 Communicate insights clearly, challenge outdated practices, and lead pragmatic improvements.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 .
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27.322Jobs
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Four employers are posting at scale: SIMPLE RECRUIT (1,205 jobs), ROYAL ORG PTE. LTD. (795), SKILLMATCH RECRUITMENT (435), and jobgether (371). If you see a job from one of these names, you're looking at a company that hires marketing roles repeatedly. That's a signal of stability—and a chance to learn their hiring patterns across multiple openings.
In your interview, expect this question: 'Tell us about a time you measured the success of a campaign.' Marketing hiring managers ask this because they want proof you think in metrics, not hunches. Come with a real example—conversions, clicks, revenue, engagement rate, cost per acquisition—pick the metric that mattered most. Show you track what you do.
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