Zurück zu den Positionen

Lead Data Scientist (m/w)

Festanstellung, Vollzeit · Berlin-Charlottenburg

Über uns
Flaconi ist eine Premium-Onlineparfümerie für Parfum und Beautyprodukte im deutschsprachigen Raum. Bereits seit Juli 2011 bietet Flaconi eine umfangreiche Auswahl an Marken-Parfums, Pflegeprodukten, Make-up, Naturkosmetik und professioneller Haarpflege. Neben einem perfekten Kundenservice, hochwertigem Design und einer intuitiven Shop-Bedienung machen vielseitige Produktinformationen den Einkauf bei Flaconi zu einem besonderen Erlebnis. Das erfolgreiche E-Commerce-Unternehmen wurde bereits mit zahlreichen Online-Awards ausgezeichnet. ProSiebenSat.1 hat 2015 die Mehrheit an Flaconi übernommen.
Deine Rolle
  • You will be responsible to lead and evolve a team of data scientists
  • As part of Flaconi's central Business Intelligence, Analytics and Data Science department, your team will be taking on challenges across all areas of Flaconi's business
  • You motivate your team by proactively and transparently leading them to explore, and implement most recent algorithms and approaches for supervised and unsupervised machine learning
  • You will identify, understand, structure and solve complex problems in the prediction of demands and supplies in the fast-moving world e-commerce
  • Furthermore, you develop production ready prediction tools used in a variety of processes to help Flaconi become the #1 beauty e-commerce player in Europe
  • You will work closely with various stakeholders including Flaconi's top management
  • You are a problem solver, detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives
  • Together with the team you will explore, define and evolve our data science technology stack
Anforderungen
  • Passion for data analysis, statistical analysis, creative solution of problems and ability to translate business requirements into a data science setting
  • Experience in leadership of data-science teams
  • 4+ years of practical machine learning experience in an e-commerce or academic environment
  • Profound experience in machine learning, statistical analysis and predictive modelling in business environmentsHands-on programming skills in SQL, R, Python, Scala
  • Experience with Deep Learning software packages such as TensorFlow or MXNet
  • Ability to visualize data and present core insights in a clear and compelling way
  • Empathic personality as well as excellent communication and motivational skills
  • Passion for implementing advanced analytics and the will to play an essential role in the future of beauty e-commerce
  • Extreme precision and an unwavering attention to detail
Worauf kannst Du Dich freuen?
  • An open company culture shaped by transparent decisions, team spirit, hands-on mentality and honest feedback
  • A casual working atmosphere on first-name basis and without any dress code
  • The possibility to make a paid sabbatical leave as well as additional measures for a smooth work-life balance, e. g. flexible working times and home-office option
  • Compatibility of job and family using different childcare options
  • Cost takeover of the public transport ticket and the usage of attractive discounts in and beyond our online-shop
  • Team events, fresh fruits & veggies as well as beverages
  • Who let the dogs out? – dogs are allowed
  • Various training opportunities as well as English courses
  • A lot of challenges as well as the room for own ideas
  •  Flat hierarchies and high responsibility
Bewirb Dich jetzt
Shape our company’s success with us and apply now online! We look forward to receiving your complete application documents including your earliest starting date and your salary expectation. Please direct your application to Nastassja Prill.

Deine Bewerbung

Wir freuen uns über Dein Interesse an Flaconi. Bitte fülle das folgende kurze Formular aus. Solltest Du Schwierigkeiten mit dem Upload der Daten haben, wende Dich gerne per Email an jobs@flaconi.de.

Bitte lade hier Deine vollständigen Bewerbungsunterlagen, bestehend aus Lebenslauf, Anschreiben, Gehaltsvorstellung und Zeugnissen hoch.