Senior Decision Scientist/Data Analyst (Eligible for Limited-time Relocation Bonus)

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You will work in a cross-functional product team focused on Vinted Pay, collaborating closely with a Product Manager, an Engineering Manager, and Engineers. This role is part of the Data Science & Analytics (DSA) function, reporting to the DSA Manager for Vinted Pay. You will play a key role in shaping our payments products by leveraging data to drive impactful decision-making. Currently, Vinted Pay is a quickly growing business area, which brings its own challenges and opportunities. To be successful and satisfied in this role, you need to be comfortable with a fast pace and continuous change. In return, you get to build something really big together with driven and caring colleagues. About you Experience in a Decision Science, Data Analytics, Data Science, or other similar roles focused on data-driven analysis, experimentation, and applied statistics Excellent analytical thinking and problem-solving skills, with the ability to balance depth of analysis with business impact Strong SQL skills Strong Python skills, familiar with Jupyter notebooks Experience with BI tools (e.g., Looker, Tableau, Power BI) Strong statistics: knowledge of statistical methods, relevant academic background (such as statistics or econometrics university courses), experience running A/B tests, regression analysis, and other inferential techniques Highly results-oriented and comfortable with iterative processes Strong communicator who can convincingly present results to both technical and non-technical audiences Fluent in English, both written and spoken Previous experience working in cross-functional teams preferred The gross monthly salary range for this position is: €4.608—€6.233 EUR This position is based in Lithuania. We're here to help you settle in with premium relocation assistance and a generous €30,000 gross bonus. If you feel that Vinted is your perfect cultural fit—apply here: https://careers.vinted.com/jobs/j/4807771101?gh_src=ck2urrl2teu&utm_source=nerdearla

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