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(Expert) Data Scientist (m/f/d) Personalization

(Expert) Data Scientist (m/f/d) Personalization

(Expert) Data Scientist (m/f/d) Personalization

(Expert) Data Scientist (m/f/d) Personalization

bonprix

Einzelhandel

Hamburg

  • Art der Anstellung: Vollzeit
  • 55.500 € – 71.500 € (von XING geschätzt)
  • Vor Ort
  • Zu den Ersten gehören

(Expert) Data Scientist (m/f/d) Personalization

Über diesen Job

Job Description

As an agile organization, we provide the freedom to define the digital commerce of tomorrow – on equal terms and with a diverse tech stack. We believe: technology has never been so stylish. And so human. After all, what is the most modern tech stack without the spirit of our colleagues?

This is what your job brings

Showing every customer the same content? Anyone can do that. We want to delight our customers by showing them content that truly interests them. Become part of our team and develop personalization and recommendation models for the personalized shopping experience of the future in exciting use cases.

Your task

You will develop personalization and recommender models in batch and real-time contexts and ensure the production deployment and operation of the models together with colleagues in the product team.

Your contribution

You will use your data science and ML knowledge to develop solutions for exciting use cases, find the right method to solve specific business problems, and think through use cases from A to Z.

You support less experienced colleagues in their development and pass on your knowledge.

Your environment

You will work in an agile team consisting of product managers, data scientists, and data and software engineers. Together, you will be responsible for the development, deployment, and operation of technically advanced personalization algorithms.

The Personalization team is part of our AI & Data Science domain, which is responsible for the development of statistical and machine learning models as well as generative AI solutions for bonprix.

Your freedom

You will actively contribute your ideas and, together with your product team, shape the further development of personalization at bonprix. You will independently test and evaluate innovative methods and technologies. You will take responsibility for the models used and shape the growing portfolio of personalization models.

Your tech stack

Python, BigQuery, Vertex AI, Clous Storage, VS Code, PyCharm, GitLab, Github, Jira, Confluence, Tableau

What you bring with you

Wherever bonprix is, it's at the forefront. For this, we need people like you, who are simply ahead of the game. Who think agilely and turn "can't" into "do." Ideally, you also bring the following with you:

Your training

You have a completed degree, preferably in data science, (business) mathematics, computer science or a comparable qualification.

Your experience

You have several years of relevant professional experience in data science in a business context. You have already implemented several machine learning products into productive data and business processes. Nice to have. Initial experience in recommender systems and personalization.

Your skills

You have in-depth knowledge of machine learning algorithms and methodologies, as well as common machine and deep learning frameworks and libraries. You regularly acquire new skills and relevant information on data science methods from the literature, and you have excellent Python skills. You are also proficient in SQL (especially BigQuery) and have good written and spoken English skills.

Your soft skills

You are curious and open to learning and exploring new things. You also enjoy working as a team player in a cross-functional, agile team and enjoy developing innovative solutions for challenging business use cases. With a strong affinity for data and a thirst for discovery, you communicate complex issues clearly, present yourself confidently, and impress with your communication skills.

And: You want to become part of an open, tolerant, and diverse corporate culture and make your own contribution to it.

Your benefits

  • Special collective agreements
  • Pensions and finances
  • Job and family
  • 30 vacation days
  • Flexible working hours - 37.5 hours flexitime
  • Staff discount
  • HVV subsidy
  • Fitness, health and company sports
  • Continuing education
  • Mobile working

About bonprix

In short, everything about us!

bonprix is ​​one of the Otto Group's highest-grossing brand concepts and is one of Europe's leading e-commerce companies. With online shops in 16 European countries and an additional B2B business in several markets, we offer our predominantly female target group fashion with excellent value for money. Since our founding in 1986, we have delighted around 10 million active customers in Europe every year. From our headquarters in Hamburg and our locations in Poland, Italy, and France, around 1,500 employees work to continuously develop bonprix – both locally and internationally. We work digitally, innovatively, and passionately create fashion to meet our customers' needs.

bonprix: Where fashion meets tech. Meets you.

We're giving the digital fashion world a new face. How about yours?

We look forward to receiving your application

Our homeland - and perhaps soon yours too:

bonprix Handelsgesellschaft mbH
Haldesdorfer Straße 61
22179 Hamburg

Still questions?

We are sure Kristina has the right answer.

+49 40 6462 1946

kristina.jentsch@bonprix.net
Email me jobs like this

Gehalts-Prognose

Unternehmens-Details

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bonprix

Einzelhandel

1.001-5.000 Mitarbeitende

Hamburg, Deutschland

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen

Unternehmenskultur

Unternehmenskultur

680 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei bonprix als modern.Der Branchen-Durchschnitt liegt recht ausgeglichen zwischen traditionell und modern.

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