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About
Zurich, BerlinContractFull timeJob CategoryTHE ROLE AND THE TEAM:We are seeking a talented and innovative Data Scientist to join our DigitalInsights & Analytics Team. DIA is responsible for providing insight andadvice to Zalando regarding the efficacy and optimisation of the ZalandoeCommerce Platform. The ideal candidate will therefore specialise in usinggraph theory, sequence modelling and other data mining techniques, advancedstatistical modelling, analysis, and data visualisation techniques tounderstand, and enhance the user journeys our customers undertake. Yourinsights will play a crucial role in improving user experience, increasingcustomer satisfaction, and driving business growth.WHERE YOUR EXPERTISE IS NEEDED:Customer Journey Understanding: Utilise graph theory, sequencemodelling and other state of the art data mining techniques to map out thecustomer journey across our e-commerce website, identifying key nodes,pathways, and customer behaviours.Advanced Statistical Modelling and Visualization: Analyse largedatasets and leverage state of the art statistical modelling to uncoverinsights into customer behaviour, preferences, and pain points. Createclear, compelling visualisations to communicate these findings.Predictive Modelling: Develop models to predict customerbehaviours, preferences, and potential future pathways.Optimization Strategies: Provide recommendations for websitedesign and navigation improvements based on customer journey analysis.Collaboration: Work closely with the UX/UI design team,marketing, and product management to implement changes based on yourinsights.Reporting: Regularly present findings and progress tostakeholders in a clear, accessible manner.WHAT WE ARE LOOKING FOR:Educational Background: Master’s degree or Ph.D in DataScience, Statistics, Computer Science, economics or a related field ORequivalent experience.Experience: 8+ years experience in data science, with a focus on customerjourney analysis, high dimensional statistics, graph data mining, orrelated areas.Technical Skills: Proficiency in Python and its data analysislibraries (Pandas, NumPy, Scikit-learn). Experience with large-scale graphand sequence analysis tools is a plus (e.g. Neo4j). Other technical skillsinclude SQL (BigQuery, Snowflake or RedShift), visualisation inMicrostrategy or similar.Analytical Skills: Strong analytical skills with the ability tocollect, organise, analyse, and disseminate significant amounts ofinformation with attention to detail and accuracy.Communication Skills: Excellent communication and presentationskills, with the ability to translate complex data into actionable insightsfor non-technical audiences.Continuous Learning: Stay updated with the latest trends andtechniques in data science, graph theory, and customer behaviouranalysis.Problem-Solving: Strong problem-solving skills with a creativeapproach to finding and implementing solutionsYOUR BENEFITSCareer DevelopmentWe offer peer-to-peer performance reviews twice a yearLearn and develop through our extensive Zalando training platformJoin regular all-hands, team meetings, Q&A-sessions, and quarterlyanonymous employee surveys to ask your questions and provide yourfeedbackSupport from an international team of experts; mentoring and professionaldevelopment opportunitiesWellbeing2 days paid leave per year for volunteering25 holiday days per calendar year (27 if based in Berlin)Online sports courses, wellbeing, and nutrition advice offered by Humanoopersonal wellbeing coach appMental wellbeing support by our Employee Assistance Program andprofessional consultants to help you find health resourcesFlexibilityFlexible working hoursRelocation assistance available for internationalsHome office equipment available for hybrid working, to support you workingfrom homeHybrid working model with 60% remote per weekOpportunity to work from abroad for 30 (working) days per calendar yearFinancialAccess to the employee shares program40% shopping discount on products shipped and sold by Zalando, and 30%discount on Zalando LoungeFamily4 weeks paid paternity leave and 17 weeks paid maternity leave3 fully-paid child sick days per yearFree counseling, assistance, and referral service for all mattersconcerning yourself and your family via the Fürstenberg Institute.ABOUT ZALANDOIt’s the perfect time to join Zalando on our journey, from being apioneer in the world of e-commerce, to the starting point for fashion inEurope. We connect customers, brands, and partners across 23 markets.Help us drive digital and sustainable solutions for fashion, logistics,advertising and research, bringing head-to-toe fashion to more than 48million active customers through a team of diverse skill-sets, culturalbackgrounds, and interests.Our values https //jobs.zalando.com/en/our-founding-mindsetdo.More – our sustainability strategy https//corporate.zalando.com/en/sustainabilityFollow us on Instagram instagram.com/insidezalandoPlease note that all applications must be completed using the online form– we do not accept applications via email.RecruiterDonatella Marcellinodonatella.marcellino@zalando.deBitte beachte, dass alle Bewerbungen mit dem Online-Formular ausgefülltwerden müssen – wir akzeptieren keine Bewerbungen per E-Mail.BewerbenTagged as: remote, remote job, virtual, Virtual Job,virtual position, Work at Home, work from home
When applying state you found this job on Pangian.com Remote Network. #J-18808-LjbffrNice-to-have skills
- Python
- Pandas
- Numpy
- Scikit-learn
- Neo4J
- SQL
- Redshift
Work experience
- Frontend
- Data Engineer
- Data Scientist
Languages
- English